Reinforcement Learning
ml-agents
ML-Agents-Pyramids
ppo
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sam522/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use sam522/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="sam522/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "algorithm": "PPO", | |
| "environment": "ML-Agents-Pyramids", | |
| "hyperparameters": { | |
| "learning_rate": 0.0003, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "clip_coef": 0.2, | |
| "entropy_coef": 0.01, | |
| "value_coef": 0.5, | |
| "curiosity_coef": 0.1 | |
| }, | |
| "network_architecture": { | |
| "hidden_size": 512, | |
| "num_layers": 3, | |
| "activation": "ReLU", | |
| "curiosity_network": "RND" | |
| }, | |
| "training": { | |
| "total_episodes": 3000, | |
| "batch_size": 1024, | |
| "update_epochs": 4 | |
| } | |
| } |