tjuHaoXiaotian

pymarl3

We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.

GASIL

Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems

ICML-2020-MSBCB

Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

SC1

Qfamily_for_MatrixGame

We provide a very simple implementation of the typical value decomposition methods for solving single state Matrix Games.

MA-MuZero

MuZero for Combinatorial Action Spaces: open-source codebase for MA-Gumbel-AlphaZero, MA-Sampled-AlphaZero, MA-Gumbel-MuZero and MA-Sampled-MuZero, from "Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces" at AAAI 2024.

RL_paper

Graph-Neural-Network-Review

InterestDemo

机器学习简单前端（带可视化）小程序

NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

pymarl_alpha

Alpha code release for Python Multi-Agent Reinforcement Learning framework

smac

SMAC: The StarCraft Multi-Agent Challenge

dien

easy-tf-log

Easy TensorFlow logging for quick prototypes

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Hands-On-Reinforcement-Learning-With-Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

leetcode-master

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

ma-gym

A collection of multi agent environments based on OpenAI gym.

Machine-Learning-Notes

白板推导系列课程笔记 初版

MAgent

A Platform for Many-agent Reinforcement Learning

Markdown4Zhihu

minerl2020_sqil_submission

Paper-Writing-Tips

Paper Writing Tips

PettingZoo

Gym for multi-agent reinforcement learning

PIC

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

smarts_track2

the track2 code of the SMARTS competition of NIPS-22

the-gan-zoo

A list of all named GANs!

tjuHaoXiaotian.github.io

my blog