Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use MTahaB/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use MTahaB/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="MTahaB/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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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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# **ppo** Agent playing **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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model-index:
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- name: ppo-SnowballTarget
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: SnowballTarget
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type: ML-Agents-SnowballTarget
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metrics:
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- type: mean_reward
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name: Mean Reward
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value: "23.000 +/- 2.023"
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---
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# **ppo** Agent playing **SnowballTarget**
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