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hanabi_sad

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

hit-mac

This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.

ic3net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

klinechart

📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）

learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

logisticsenv

UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D

ma-gym

A collection of multi agent environments based on OpenAI gym.

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

maac-1

maproj

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

mate

MATE: the Multi-Agent Tracking Environment.

mava

A library of multi-agent reinforcement learning components and systems

mdde-maac

Actor-Attention-Critic for Multi-Agent Reinforcement Learning for Multi-agent Data Distribution Environment

msc_curiosity_marl

MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning

multi-agent-transformer

multi_uav

multi_uav_simulator

A quadrotor swarm simulator based on ROS (Robot Operating System).

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multiagentperception

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

multiuav-simulation

Discrete event simulation framework aimed at UAV movement, energy management, and signal propagation

parl

A high-performance distributed training framework for Reinforcement Learning

phd-dissertation-sass

Multi-agent systems (MAS) could play a pivotal role in realizing future intelligent workspaces, especially in building so-called artificial social systems, such as self-driving cars and multi-robot systems (MRS). For example, MAS/MRS cooperates to increase mission performance in many applications, including exploration, surveillance, defense, humanitarian, and emergency missions like urban search and rescue.

pibt2

Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)

policy_based_rl

The implement of the policy gradient RL algorithm with pytorch

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

python_maddpg_sc2le

My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗