Find trending repositories by name or description.
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.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
Python library for Reinforcement Learning.
A framework for building robust RL environments to train aligned AI.
Our library for RL environments + evals
Daily notes on AI research, especially those on LLMs, VLMs, AI agents and related techniques such as pre-, mid-, post-training, RL, continual learning, test-time scaling, RSI, and more.
Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.
High-performance RL post-training infrastructure. Designed to achieve bitwise operator-level train-inference consistency across heterogeneous engines and extreme memory efficiency for GRPO, PPO, etc.
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
RL study guide — foundations through RLHF, DPO, GRPO, RLVR, agentic RL, and offline RL. Hand-written CS294 notes, 34 lecture drafts, 9 tested exercises, citations that resolve.
A simple implementation of the OWL2 RL Profile on top of RDFLib: it expands the graph with all possible triples that OWL RL defines. It can be used together with RDFLib to expand an RDFLib Graph object, or as a stand alone service with its own serialization.
:zap: :zap: Deep RL (PPO) agent that manages a Uniswap V3 concentrated liquidity position, deciding when to hold, collect fees, or rebalance. Trained and validated against real on-chain data
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
RL Environments in JAX 🌍
A reproducibility lab for trading AI: published RL and LLM trading claims re-tested under a pre-registered protocol, with a causal benchmark and a live track.
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
Tactile Sensing • Data Collection • IL/RL/VLA/WM • Manipulation • Simulation • Open Source
R.L. methods and techniques.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Clean single-file implementation of offline RL algorithms in JAX
Projects from basic algorithms to MARL. Implements MADDPG,MATD3,MA/HAPPO in Predator-Prey pursuit games with PettingZoo MPE environments.
A curated list of visual reinforcement learning resources
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!