Popular GitHub Repositories for Rl Environment

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/

The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.

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

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

An elegant PyTorch deep reinforcement learning library.

StarCraft II Learning Environment

Setup and customize deep learning environment in seconds.

Massively Parallel Deep Reinforcement Learning. ?

The open-source visual AI programming environment and TypeScript library

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.

Modularized Implementation of Deep RL Algorithms in PyTorch

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

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

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

A minimalist environment for decision-making in autonomous driving

A PyTorch Library for Meta-learning Research

An open-source visual programming environment for battle-testing prompts to LLMs.

MuZero