Amanda2024

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

football

Check out the new game server:

minimalRL

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

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

MAgent

A Platform for Many-Agent Reinforcement Learning

awesome-deep-rl

For deep RL and the future of AI.

ML-GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

smac

SMAC: The StarCraft Multi-Agent Challenge

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

hpv4g

hpv seckill 约苗 九价 疫苗秒杀 :girl: :syringe:

cchess-zero

AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目，实现**象棋。

DGN

DGN Code

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

MAgent

An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments

magnet

MAGNet: Multi-agents control using Graph Neural Networks

NerveNet

NDQ

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

SimpleTeamSportsSimulator

football-paris

The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141

Bilevel-Optimization-in-Coordination-Game

code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)

matplotlib-fill_between-in-3D

Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.

GraphMIX

Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning

Auto-STGCN

source code of paper 'Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results'

LSC

Code for "Learning Structured Communication for Multi-Agent Reinforcement Learning" (ICLR 2020 OpenReview)

HRG-SAC

GRF-Self-Play

Training agents with competitive self-play in Google Research Football environment