Reinforcement Learning
ml-agents
ONNX
ML-Agents-Pyramids
Pyramids
deep-rl-course
ppo
Eval Results (legacy)
Instructions to use Learnix-AI-Lab/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Learnix-AI-Lab/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Learnix-AI-Lab/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 499 Bytes
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behaviors:
Pyramids:
trainer_type: ppo
hyperparameters:
batch_size: 128
buffer_size: 2048
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
network_settings:
normalize: false
hidden_units: 128
num_layers: 2
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
max_steps: 500000
time_horizon: 64
summary_freq: 10000
env_id: ML-Agents-Pyramids
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