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easy-rl is a beginner-friendly reinforcement learning (RL) tutorial series and framework developed by Datawhale China. It provides educational resources and implementations of various RL algorithms to help new researchers and practitioners learn RL concepts.
Features
- Includes step-by-step reinforcement learning tutorials for beginners
- Provides clean implementations of classic RL algorithms like DQN, PPO, and A3C
- Designed for educational use with well-commented code
- Supports integration with OpenAI Gym and Gymnasium
- Offers visualization tools for understanding RL processes
- Continuously updated with new RL advancements and improvements
Project Samples
Categories
Reinforcement Learning AlgorithmsLicense
MIT LicenseFollow EasyRL
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