Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use kinkpunk/PPO-PyramidsRND with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use kinkpunk/PPO-PyramidsRND with ml-agents:
mlagents-load-from-hf --repo-id="kinkpunk/PPO-PyramidsRND" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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```
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mlagents-learn ./config/ppo/PyramidsRND.yaml --run-id="Pyramids-Training" --resume
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```
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### Watch your Agent play
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You can watch your agent **playing directly in your browser:**.
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```
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mlagents-learn ./config/ppo/PyramidsRND.yaml --run-id="Pyramids-Training" --resume
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```
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### Training hyperparameters
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```python
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behaviors:
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Pyramids:
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trainer_type: ppo
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hyperparameters:
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batch_size: 128
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buffer_size: 4096
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learning_rate: 0.0003
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beta: 0.01
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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learning_rate_schedule: linear
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network_settings:
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normalize: false
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hidden_units: 512
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num_layers: 3
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vis_encode_type: simple
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reward_signals:
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extrinsic:
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gamma: 0.99
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strength: 1.0
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rnd:
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gamma: 0.99
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strength: 0.01
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network_settings:
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hidden_units: 128
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num_layers: 3
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learning_rate: 0.0001
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keep_checkpoints: 5
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max_steps: 900000
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time_horizon: 256
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summary_freq: 30000
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```
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### Watch your Agent play
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You can watch your agent **playing directly in your browser:**.
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