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DeepRL_chp5_MLAgents_SnowballTarget

Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
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Push of the model of the Snowball Target environment

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  1. README.md +29 -0
  2. SnowballTarget.onnx +3 -0
  3. SnowballTarget/SnowballTarget-1000208.onnx +3 -0
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README.md ADDED
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+ ---
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+ library_name: ml-agents
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+ tags:
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+ - SnowballTarget
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - ML-Agents-SnowballTarget
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+ ---
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+
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+ # **ppo** Agent playing **SnowballTarget**
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+ This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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+
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+ ## Usage (with ML-Agents)
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+ The Documentation: https://github.com/huggingface/ml-agents#get-started
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+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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+
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+
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+ ### Resume the training
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+ ```
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+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
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+ ```
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+ ### Watch your Agent play
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+ You can watch your agent **playing directly in your browser:**.
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+
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+ 1. Go to https://huggingface.co/spaces/unity/ML-Agents-SnowballTarget
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+ 2. Step 1: Find your model_id: EvaOr/DeepRL_chp5_MLAgents_SnowballTarget
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+ 3. Step 2: Select your *.nn /*.onnx file
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+ 4. Click on Watch the agent play 👀
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+
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