Popular GitHub Repositories for Rl Infra

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

An elegant PyTorch deep reinforcement learning library.

Massively Parallel Deep Reinforcement Learning. ?

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

? Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). ? OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. ?️ Llama3, Mistral, etc. ?‍? Video Tutorials.

Modularized Implementation of Deep RL Algorithms in PyTorch

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

Distributed RL System for LLM Reasoning

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

A PyTorch Library for Meta-learning Research

MuZero

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

A.I.G (AI-Infra-Guard) is a comprehensive, intelligent, and easy-to-use AI Red-Teaming platform developed by Tencent's Zhuque Lab.

A modular RL library to fine-tune language models to human preferences

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms