<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x1534d63bebf0>

Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 15.0, 'agent': array([1, 2]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([1, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([1, 4]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([1, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 11.0, 'agent': array([2, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([3, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([3, 6]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([4, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([6, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([7, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([8, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([9, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([9, 8]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 15.0, 'agent': array([2, 9]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([3, 9]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 13.0, 'agent': array([3, 8]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([3, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([3, 6]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([3, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([4, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([5, 4]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([6, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([7, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([7, 2]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([7, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([8, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([1, 8]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([1, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([1, 6]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([1, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([1, 4]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([1, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 9.0, 'agent': array([2, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([4, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([5, 2]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([5, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([6, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([7, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([8, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([1, 8]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([1, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 13.0, 'agent': array([2, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([3, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([4, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([5, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([5, 6]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([6, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([7, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([8, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([9, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([9, 4]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([9, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([9, 2]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([9, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([9, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 13.0, 'agent': array([8, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([7, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 13.0, 'agent': array([7, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([7, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([6, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([5, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([4, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([3, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([3, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([2, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([1, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([1, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([1, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([1, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 3.0, 'agent': array([2, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([3, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([3, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([3, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([2, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>

Based on the current state, I need to take the optimal action to solve this task.


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 15.0, 'agent': array([2, 9]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([3, 9]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([4, 9]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([5, 9]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 11.0, 'agent': array([5, 8]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([5, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([6, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([7, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([7, 6]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([7, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([7, 4]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([7, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([8, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([9, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([9, 2]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 15.0, 'agent': array([9, 2]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([9, 3]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([9, 4]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([9, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 11.0, 'agent': array([8, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([6, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([4, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([3, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([2, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([1, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([1, 6]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 7]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([1, 8]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 9]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 15.0, 'agent': array([8, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([7, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([6, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([5, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([4, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([3, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 9.0, 'agent': array([3, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([3, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([3, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 7.0, 'agent': array([4, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([5, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([4, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([3, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([2, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([1, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 15.0, 'agent': array([8, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([7, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 13.0, 'agent': array([7, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([7, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([6, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([5, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([5, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([4, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([3, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([3, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([3, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([3, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([3, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([2, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([9, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([9, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 13.0, 'agent': array([8, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([7, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([6, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([5, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([4, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([2, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([1, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([1, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([1, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([1, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([1, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([9, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([9, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([9, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([9, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 11.0, 'agent': array([8, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([6, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([5, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([5, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([5, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([4, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([3, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([2, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([9, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([9, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 13.0, 'agent': array([8, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([7, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([6, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([5, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([5, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([5, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([5, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([5, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([4, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([3, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 3.0, 'agent': array([3, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([3, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([3, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([3, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([2, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([1, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([1, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([1, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>

Based on the current state, I need to take the optimal action to solve this task.


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([9, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([9, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([9, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([9, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 11.0, 'agent': array([8, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([6, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([4, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([3, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 7.0, 'agent': array([3, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([2, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([1, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([1, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([1, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([1, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 3.0, 'agent': array([2, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([3, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([3, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([3, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([2, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>

Based on the current state, I need to take the optimal action to solve this task.


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 15.0, 'agent': array([1, 2]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([1, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([1, 4]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([1, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 11.0, 'agent': array([2, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([3, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 11.0, 'agent': array([3, 4]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([3, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([3, 2]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([3, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([4, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([5, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([6, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([8, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([9, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([9, 2]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([9, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 7.0, 'agent': array([8, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([7, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([7, 4]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([7, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([8, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([9, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([9, 6]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([9, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([9, 8]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>

Based on the current state, I need to take the optimal action to solve this task.


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 15.0, 'agent': array([2, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([3, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([4, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([5, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([6, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([8, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([9, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 7.0, 'agent': array([9, 2]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([9, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 7.0, 'agent': array([8, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([7, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([7, 4]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([7, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([7, 6]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([7, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([6, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([5, 8]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([5, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([6, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([7, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([8, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Based on the current state, I need to take the optimal action to solve this task.

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>

Based on the current state, I need to take the optimal action to solve this task.


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 15.0, 'agent': array([8, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([7, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 13.0, 'agent': array([7, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([7, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([6, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([5, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([5, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 9.0, 'agent': array([6, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([7, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([7, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([6, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([4, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([3, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([3, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([3, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([2, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 15.0, 'agent': array([1, 8]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([1, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 13.0, 'agent': array([2, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([3, 7]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([3, 6]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([3, 5]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([3, 4]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 3]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([3, 2]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([3, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([4, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([5, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([6, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([7, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([8, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 1]), 'target': array([9, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 3)</answer>

{'distance': 15.0, 'agent': array([2, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([3, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([4, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([5, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 11.0, 'agent': array([6, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 1]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 9.0, 'agent': array([7, 2]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([7, 3]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([7, 4]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([7, 5]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([7, 6]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([7, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([8, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([9, 7]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([9, 8]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([9, 9]), 'target': array([9, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 15.0, 'agent': array([8, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([7, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([6, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([5, 9]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 2)</answer>

{'distance': 11.0, 'agent': array([5, 8]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([5, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([4, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([3, 7]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([3, 6]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([3, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([2, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([1, 5]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([1, 4]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 3]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([1, 2]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 1]), 'target': array([1, 1]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>


Prompt:
You are navigating a 11x11 maze. The maze consists of walls (gray) and paths (white). You are represented by a blue circle, and your goal is to reach the red target square.

Available actions:
1. 'move': Move in one of four directions. Format: `('move', direction)` where direction is an integer:
   - 0=right, 1=up, 2=left, 3=down
2. 'stop': End the navigation session. Format: `('stop', 'stop')`

Success: You succeed if you reach the red target square.

Please respond with exactly one action and its arguments in the specified format. For example:
- To move right: `('move', 0)`
- To move up: `('move', 1)`
- To move left: `('move', 2)`
- To move down: `('move', 3)`
- To stop: `('stop', 'stop')`

Verbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 0)</answer>

{'distance': 15.0, 'agent': array([9, 2]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 14.0, 'agent': array([9, 3]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 13.0, 'agent': array([9, 4]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 12.0, 'agent': array([9, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('move', 1)</answer>

{'distance': 11.0, 'agent': array([8, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 10.0, 'agent': array([7, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 9.0, 'agent': array([6, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 8.0, 'agent': array([5, 5]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 7.0, 'agent': array([5, 6]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 6.0, 'agent': array([5, 7]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 5.0, 'agent': array([4, 7]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 4.0, 'agent': array([3, 7]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 3.0, 'agent': array([2, 7]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 2.0, 'agent': array([1, 7]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 1.0, 'agent': array([1, 8]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

{'distance': 0.0, 'agent': array([1, 9]), 'target': array([1, 9]), 'env_feedback': 'Action executed successfully.'}

Prompt: Environment feedback: Action executed successfully.

Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>