Popular GitHub Repositories for Goal Conditioned Rl

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.

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

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.

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.

Modularized Implementation of Deep RL Algorithms in PyTorch

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

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

A PyTorch Library for Meta-learning Research

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

MuZero

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

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

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

Distributed RL System for LLM Reasoning

The goal of RamaLama is to make working with AI boring.