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madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

mapdn

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mas-simulation

A library for simulation of multi-agent systems under non-ideal communication

mas_consensus_coevolutionarycontrol

《多智能体系统一致性协同演化控制理论与技术》-纪良浩

mas_cooperativeclustermotioncontrol

《多智能体系统的协同群集运动控制》-陈杰

model-based-marl

mpc-reinforcement-learning

Reinforcement Learning with Model Predictive Control

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

multi-agent-constrained-policy-optimisation

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

multi-agent-lmpc

multi-agent-reinforcement-learning-papers

Multi-Agent Reinforcement Learning (MARL) papers

multi-agent-rl-numerical-simulation

Numerical Simulation for Zero-Order Distributed Policy Optimization algorithm (ZODPO)

multi-robot-formation-control-using-deep-reinforcement-learning

A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, avoiding obstacles, and avoiding collision with the other agents.

multiagent

Basic tools for evaluating consensus-based, multi-agent, actor-critic reinforcement learning algorithms.

multiagent_mujoco

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

multiagent_planning

Implementation of several multiagent trajectory generation algorithms

multirobots_covermap

多机器人地图覆盖仿真

nash-dqn

Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. Zihan Ding, Dijia Su, Qinghua Liu, Chi Jin

network-distributed-algorithm

Experiments for distributed optimization algorithms

networked_agents

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

nmpc-dclf-dcbf

A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)

on-policy-investigation

This is the official implementation of Multi-Agent PPO (MAPPO). Forked from the original repo for testing purposes.

optimization-of-the-obstacle-avoidance-system-using-reinforcement-learning-in-matlab

paper-simulation

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

partiallyobservedinversegames.jl

An inverse game solver for inferring objectives from noise-corrupted partial state observations of non-cooperative multi-agent interactions.

pepper_drl_maexploration

Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm

pettingzoo

Gym for multi-agent reinforcement learning

por

Author's implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"

pydcop

Library for research on Distributed Constraints Optimization Problems