A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Deep Reinforcement Learning For Trading

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Deep Reinforcement Learning for Keras.

🐝 The First Self-Improving agents with RL / Prompting Optimization

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code