[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

Attention based model for learning to solve different routing problems

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

Accompanying repo for the RLPrompt paper

SMAC: The StarCraft Multi-Agent Challenge

The MARL extension for RLlib. A benchmark for research and industry.

An elegant PyTorch deep reinforcement learning library.

ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward

Learning Individual Intrinsic Reward in MARL

Python Multi-Agent Reinforcement Learning framework

[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

一键解决知乎导入Markdown文件时图片和公式等问题。

codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

the fork one

Check out the new game server:

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

https://hrl.boyuai.com/

Official code repository for Prompt-DT.

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning