README.md

metadata

library_name: ml-agents
tags:
  - SnowballTarget
  - deep-reinforcement-learning
  - reinforcement-learning
  - ml-agents
  - ML-Agents-SnowballTarget
model-index:
  - name: SnowballTarget
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: ML-Agents-SnowballTarget
          type: ML-Agents-SnowballTarget
        metrics:
          - type: mean_reward
            value: 42.50 +/- 4.20
            name: mean_reward

ppo Agent playing SnowballTarget

This is a trained model of a ppo agent playing SnowballTarget using the Unity ML-Agents Library for Unit 5 Part 1 of the Deep RL Course.

Evaluation Results

• Result: 42.50 +/- 4.20
• Threshold Required: >= -100
• Pass Status: Passed ✅