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ElegantRL is an efficient and flexible deep reinforcement learning framework designed for researchers and practitioners. It focuses on simplicity, high performance, and supporting advanced RL algorithms.
Features
- Implements cutting-edge DRL algorithms like PPO, DDPG, TD3
- Optimized for fast training with parallel processing
- Minimalistic and easy-to-understand codebase
- Supports continuous and discrete action spaces
- Compatible with OpenAI Gym and custom environments
- Includes hyperparameter tuning tools for performance optimization
Project Samples
Categories
Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
MIT LicenseFollow ElegantRL
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