AI4Finance-Foundation/ElegantRL
A lightweight PyTorch framework for implementing and training deep reinforcement learning algorithms at scale.
Not currently ranked — collecting fresh signals.
star history
ElegantRL is a reinforcement learning framework focused on expressing core RL algorithms with minimal complexity and maximum clarity. It provides implementations of popular model-free RL algorithms including PPO, DQN, SAC, TD3, A2C, DDPG, and GAE, built on PyTorch. The framework emphasizes parallel training capabilities across multiple GPUs while maintaining a small dependency footprint and clean code structure for educational and research purposes.
Frequently asked
- What is AI4Finance-Foundation/ElegantRL?
- A lightweight PyTorch framework for implementing and training deep reinforcement learning algorithms at scale.
- Is ElegantRL open source?
- Yes — AI4Finance-Foundation/ElegantRL is an open-source project tracked on heatdrop.
- What language is ElegantRL written in?
- AI4Finance-Foundation/ElegantRL is primarily written in Python.
- How popular is ElegantRL?
- AI4Finance-Foundation/ElegantRL has 4.4k stars on GitHub.
- Where can I find ElegantRL?
- AI4Finance-Foundation/ElegantRL is on GitHub at https://github.com/AI4Finance-Foundation/ElegantRL.