system string | problem string | answers string | game_name string | images images list | action string | reward list | prev_state list | current_state list |
|---|---|---|---|---|---|---|---|---|
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
Scene Analysis: First, Extract dynamic information from the current frame and several previou... |
You are given a sequence of consecutive video game frames (observations). Please analyze and decide on the next valid action.
Note:
- Wrap your reasoning process in <think>...</think> tags.
- Wrap your final action (action name from the valid action set) in <answer>...</answer> tags.
| <think>Let me go with understanding the currnet state. I see
a player_bullet at (101, 158, 104, 166).
a player at (92, 177, 100, 185).
a mothership_enemy at (101, 15, 133, 36).
a crab_enemy at (98, 52, 114, 60).
a crab_enemy at (104, 77, 120, 85).
the ammunition_bar bar with 25.0% value.
the lives at (7, 190, 65, 202),... | AssaultNoFrameskip-v4 | LEFT | [
0
] | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | |
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
Scene Analysis: First, Extract dynamic information from the current frame and several previou... |
You are given a sequence of consecutive video game frames (observations). Please analyze and decide on the next valid action.
Note:
- Wrap your reasoning process in <think>...</think> tags.
- Wrap your final action (action name from the valid action set) in <answer>...</answer> tags.
| <think>Let me go with understanding the currnet state. I see
a player_bullet at (101, 142, 104, 150).
a mothership_enemy at (101, 15, 133, 36).
a crab_enemy at (94, 52, 110, 60).
a crab_enemy at (100, 77, 116, 85).
the ammunition_bar bar with 25.0% value.
the lives at (7, 190, 65, 202), whose value is 3.
Then, Let me s... | AssaultNoFrameskip-v4 | LEFT | [
0
] | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | |
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
Scene Analysis: First, Extract dynamic information from the current frame and several previou... |
You are given a sequence of consecutive video game frames (observations). Please analyze and decide on the next valid action.
Note:
- Wrap your reasoning process in <think>...</think> tags.
- Wrap your final action (action name from the valid action set) in <answer>...</answer> tags.
| <think>Let me go with understanding the currnet state. I see
a player_bullet at (101, 126, 104, 134).
a mothership_enemy at (99, 17, 131, 33).
a player at (76, 177, 84, 185).
a crab_enemy at (90, 52, 106, 60).
a crab_enemy at (96, 77, 112, 85).
the ammunition_bar bar with 31.0% value.
the lives at (7, 190, 65, 202), wh... | AssaultNoFrameskip-v4 | LEFT | [
0
] | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | |
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
Scene Analysis: First, Extract dynamic information from the current frame and several previou... |
You are given a sequence of consecutive video game frames (observations). Please analyze and decide on the next valid action.
Note:
- Wrap your reasoning process in <think>...</think> tags.
- Wrap your final action (action name from the valid action set) in <answer>...</answer> tags.
| <think>Let me go with understanding the currnet state. I see
a mothership_enemy at (95, 17, 127, 33).
a player at (68, 177, 76, 185).
a crab_enemy at (86, 52, 102, 60).
a crab_enemy at (92, 77, 108, 85).
a player_bullet at (101, 100, 104, 103).
the ammunition_bar bar with 31.0% value.
the lives at (7, 190, 65, 202), wh... | AssaultNoFrameskip-v4 | FIRE | [
1
] | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | |
You are a general-purpose game agent focused on scene understanding, key object recognition, and intelligent action decision-making based on continuous game frames. Please analyze and reason based on the following dimensions:
Scene Analysis: First, Extract dynamic information from the current frame and several previou... |
You are given a sequence of consecutive video game frames (observations). Please analyze and decide on the next valid action.
Note:
- Wrap your reasoning process in <think>...</think> tags.
- Wrap your final action (action name from the valid action set) in <answer>...</answer> tags.
| <think>Let me go with understanding the currnet state. I see
a mothership_enemy at (91, 17, 123, 33).
a player at (66, 177, 74, 185).
a crab_enemy at (82, 52, 98, 60).
the ammunition_bar bar with 31.0% value.
the lives at (7, 190, 65, 202), whose value is 3.
Then, Let me see what is the best next action.
The game appea... | AssaultNoFrameskip-v4 | UP | [
0
] | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | [
[
128,
4,
149,
84,
30,
0,
0,
0,
0,
0,
0,
140,
14,
97,
108,
101,
95,
112,
121,
46,
95,
97,
108,
101,
95,
112,
121,
148,
140,
8,
65,
76,
69,
83,
116,
97,
116,
101,
... | |
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"You are a general-purpose game agent focused on scene understanding, key object recognition, and in(...TRUNCATED) | "\nYou are given a sequence of consecutive video game frames (observations). Please analyze and deci(...TRUNCATED) | "<think>Let me go with understanding the currnet state. I see\na player_bullet at (68, 126, 71, 134)(...TRUNCATED) | AssaultNoFrameskip-v4 | [{"src":"https://datasets-server.huggingface.co/assets/StevenKaseiyo/shooting_15_AUG/--/{dataset_git(...TRUNCATED) | LEFT | [
0
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"You are a general-purpose game agent focused on scene understanding, key object recognition, and in(...TRUNCATED) | "\nYou are given a sequence of consecutive video game frames (observations). Please analyze and deci(...TRUNCATED) | "<think>Let me go with understanding the currnet state. I see\na mothership_enemy at (71, 15, 103, 3(...TRUNCATED) | AssaultNoFrameskip-v4 | [{"src":"https://datasets-server.huggingface.co/assets/StevenKaseiyo/shooting_15_AUG/--/{dataset_git(...TRUNCATED) | FIRE | [
1
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