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ppo-Huggy

Reinforcement Learning ml-agents TensorBoard ONNX unity-ml-agents deep-reinforcement-learning ML-Agents-Huggy
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tags:
  - unity-ml-agents
  - ml-agents
  - deep-reinforcement-learning
  - reinforcement-learning
  - Huggy
library_name: ml-agents

ppo Agent playing Huggy

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

Usage (with ML-Agents)

Resume the training 

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

Watch your Agent

  1. Move your model file into the environment Project
  2. Open the Unity Editor, and select the scene.
  3. Select the prefab Agent object.
  4. Drag the .onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
  5. Press the Play button at the top of the Editor.