junjunjunhj Goto Github PK

ace

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

alignment

ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward

attention-learn-to-route

Attention based model for learning to solve different routing problems

football

Check out the new game server:

hands-on-rl

https://hrl.boyuai.com/

junjunjunhj.github.io

junjunjun的个人主页

liir

Learning Individual Intrinsic Reward in MARL

markdown4zhihu

一键解决知乎导入Markdown文件时图片和公式等问题。

marl-algorithms

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

marllib2

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

mdam

multi-agent-transformer

nco_code

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

neurips22-atm

odis

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

pomo

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

pymarl

Python Multi-Agent Reinforcement Learning framework

pymarl2

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

rl-prompt

Accompanying repo for the RLPrompt paper

rlor

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

simulator

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

smac

SMAC: The StarCraft Multi-Agent Challenge

sym-nco

tianshou

An elegant PyTorch deep reinforcement learning library.

trpo-in-marl

the fork one

vrp-dact

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