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

ElegantRL Screenshot 1

Project Activity

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Categories

Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning Algorithms

License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks, Python Reinforcement Learning Libraries, Python Reinforcement Learning Algorithms

Registered

2025-03-13
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