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
File size: 491 Bytes
bfadc6c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"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
}
} |