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@@ -13,21 +13,14 @@ For ML-Agents or related machine learning knowledge, see ML-Agents [documentatio
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* [Features and Basic Concepts](BasicConcepts.md)
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* [Example Environments](ExamplesList.md)
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## Reinforcement Learning
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## Learning
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* [Training with Proximal Policy Optimization(PPO)](Training-PPO.md)
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* [PPO with Heuristic]
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## Supervised Learning
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* [Training with Imitation]
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* [GAN]
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* [Training with Imitation(Supervised Learning)](Training-SL.md)
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* [Use Neural Evolution to optimize Neural Network](Neural-Evolution.md)
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## MAES Optimization
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* [Use MAES Optimization to Find the Best Solution]
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* [Use MAES for Reinforcement Learning or Supervised Learning]
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## Neural Evolution and Hybrid Learning
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* [Use Neural Evolution to optimizer Neural Network]
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* [Hybrid Learning with PPO and Neural Evolution]
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* [Use MAES and Supervised Learning]
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## Customization
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* [Define Your Own Training Process for ML-Agent]

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