README.md

metadata

tags:
  - ml-agents
  - ML-Agents-SnowballTarget
  - reinforcement-learning
  - unity-ml-agents
library_name: 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: 20.0 +/- 2.0
            name: mean_reward
            verified: false

PPO Agent playing ML-Agents-SnowballTarget

This is a trained model of a PPO agent playing ML-Agents-SnowballTarget using Unity ML-Agents for Unit 5 of the Hugging Face Deep RL Course.

Evaluation Results

• Mean Reward: 20.0 +/- 2.0
• Score (Mean - Std): 18.0 (Requirement: >= -100.0)

Usage

This ONNX model can be used inside Unity or with ML-Agents inference.