README.md

metadata

tags:
  - ML-Agents-SnowballTarget
  - ml-agents
  - deep-reinforcement-learning
  - reinforcement-learning
  - unity-ml-agents
model-index:
  - name: ppo-SnowballTarget
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: ML-Agents-SnowballTarget
          type: ML-Agents-SnowballTarget
        metrics:
          - type: mean_reward
            value: 25.00 +/- 3.00
            name: mean_reward
            verified: false

PPO Agent playing SnowballTarget (Unity ML-Agents)

This is a trained model of an agent playing ML-Agents-SnowballTarget using the ml-agents library as part of the Hugging Face Deep Reinforcement Learning Course.

• Environment: ML-Agents-SnowballTarget
• Library: ml-agents
• Mean Reward: 25.00 +/- 3.00
• Student: plpanjali05

Usage

# To load this model, refer to the corresponding unit notebook in the Hugging Face Deep RL Course.