README.md

metadata

tags:
  - CartPole-v1
  - reinforce
  - reinforcement-learning
  - custom-implementation
  - deep-rl-class
model-index:
  - name: DeepRL
    results:
      - task:
          type: reinforcement-learning
          name: reinforcement-learning
        dataset:
          name: CartPole-v1
          type: CartPole-v1
        metrics:
          - type: mean_reward
            value: 500.00 +/- 0.00
            name: mean_reward
            verified: false

ppo Agent playing PushBlock

This is a trained model of a ppo agent playing PushBlock using the Unity ML-Agents Library.

Usage (with ML-Agents)

The Documentation: https://github.com/huggingface/ml-agents#get-started We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:

Resume the training

mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume

Watch your Agent play

You can watch your agent playing directly in your browser:.

1. Go to https://huggingface.co/spaces/unity/ML-Agents-PushBlock
2. Step 1: Write your model_id: jackoyoungblood/DeepRL
3. Step 2: Select your .nn /.onnx file
4. Click on Watch the agent play 👀