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ppo-Huggy
ThomasSimonini/ppo-Huggy
ppo-Huggy is a reinforcement learning model from ThomasSimonini. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for ml-agents.
This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
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97.6 GB
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.pt81 MB · 85%
At a glance
- Task
- Reinforcement Learning
- Library
- ml-agents
- Access
- Public
- Created
- Apr 20, 2022
- Updated
- Dec 4, 2022
- SHA
- c2f56177
Model card
From the Hugging Face model README
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
- Move your model file into the environment Project
- Open the Unity Editor, and select the scene.
- Select the prefab Agent object.
- Drag the <behavior_name>.onnx file from the Project window of the Editor to the Model placeholder in the Agent inspector window.
- Press the Play button at the top of the Editor.
- Task
- Reinforcement Learning
- Library
- ml-agents
- Created
- Apr 20, 2022
- Updated
- Dec 4, 2022