metadata
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
model-index:
- name: ppo-Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: 1.66 +/- 0.40
name: mean_reward
ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids using the Unity ML-Agents Library (HF Deep RL Course Unit5).
Final training (run-id Pyramids1): Step 990000, Mean Reward 1.662, Std of Reward 0.400 (checkpoint exported at Step 1000160).
Usage
Download the .onnx file and use with the ML-Agents Pyramids demo, or watch it play at https://huggingface.co/spaces/unity/ML-Agents-Pyramids