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README.md
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library_name: ml-agents
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tags:
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- SolarTracker
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- deep-reinforcement-learning
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- reinforcement-learning
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- ML-Agents
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---
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# **ppo** Agent playing **SearcherBrain**
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1. The coordinates of the sun in the camera ```[x, y]``` normalized
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2. A one-hot-encoded vector representing if the sun is visible or not ```[0 or 1]```
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3. The quaternion vector representing the rotation of the solar panel
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```python
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input = [x, y, visibility, qx, qy, qz, qw]
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example_input = [0.4, 0.5, 1, 0.98, 0, -0.32, -0.99]
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```
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library_name: ml-agents
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tags:
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- SolarTracker
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- PyTorch
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- deep-reinforcement-learning
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- reinforcement-learning
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- ML-Agents
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---
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# **ppo** Agent playing **SearcherBrain**
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1. The coordinates of the sun in the camera ```[x, y]``` normalized
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2. A one-hot-encoded vector representing if the sun is visible or not ```[0 or 1]```
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3. The quaternion vector representing the rotation of the solar panel ```[qx, qy, qz, qw]```.
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```python
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# input = [x, y, visibility, qx, qy, qz, qw]
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example_input = [0.4, 0.5, 1, 0.98, 0, -0.32, -0.99]
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```
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