Officer-No1

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

Large-Language-Models-play-StarCraftII

TextStarCraft2,a pure language env which support llms play starcraft2

PPOxFamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

robotics-fm-survey

Survey Paper of foundation models for robotics

swarm_ros_bridge

A lightweight middle interface that enables specified ROS message transmission among swarm robots through socket communication

MARLlib

Multi-agent Reinforcement Learning (MARL) Version of RLlib, integrated with Awesome-MCS

CORL

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

parkour

[CoRL 2023] Robot Parkour Learning

AISystem

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

OpenGPTS

OpenGPTs- Powerful GPTs Colipot | 强大的gpts浏览器插件|多窗口|批量对话|chatgpt3.5|chatgpt4.0

MARL-papers-with-code

Multi-Agent Reinforcement Learning (MARL) papers with code

RL_draw_seabron

Use seaborn to draw RL picture

vhmap

一个简洁易用3D场景创建和控制工具。基于ThreeJS。纯Python接口。它适用于科研、多智能体强化学习领域的3D演示、娱乐等应用。

BehaviorTree.CPP

Behavior Trees Library in C++. Batteries included.

D4RL

A collection of reference environments for offline reinforcement learning

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

awesome-model-based-RL

A curated list of awesome model based RL resources (continually updated)

OfflineRL

A collection of offline reinforcement learning algorithms.

Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

Adversarial-Reinforcement-Learning-Papers

Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)

MARL-resources-collection

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

MOBA_RL

Deep Reinforcement Learning for Multiplayer Online Battle Arena

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

RL-Paper-notes

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library