README.md

metadata

library_name: ml-agents
tags:
  - Pyramids
  - deep-reinforcement-learning
  - reinforcement-learning
  - ML-Agents-Pyramids
  - ml-agents
model-index:
  - name: ppo
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: ML-Agents-Pyramids
          type: ML-Agents-Pyramids
        metrics:
          - type: mean_reward
            value: '-1.00 +/- 0.00'
            name: mean_reward
            verified: false

ppo Agent playing Pyramids

This is a trained model of a ppo agent playing Pyramids, trained with Unity ML-Agents as part of the Hugging Face Deep Reinforcement Learning Course.

Evaluation

Real inference run with the exported ONNX policy in the Unity environment.

• episodes: 60
• mean_reward: -1.000
• std_reward: 0.000
• score (mean - std): -1.000