MLAgents-Pyramids / README.md
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library_name: ml-agents
tags:
  - reinforcement-learning
  - ML-Agents-Pyramids
  - ml-agents
  - unity-ml-agents
  - deep-reinforcement-learning
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: 1.85 +/- 0.30
            name: mean_reward

PPO agent playing ML-Agents-Pyramids

This is a trained model of an PPO agent playing ML-Agents-Pyramids for the Hugging Face Deep Reinforcement Learning Course (Unit 5 P2).

Evaluation Results

  • Mean Reward: 1.85 +/- 0.30
  • Environment: ML-Agents-Pyramids
  • Algorithm: PPO
  • Library: ml-agents

Usage

Trained and evaluated for the Hugging Face Deep RL Course certification.