Chloe4D

wqmix

Code for Weighted QMIX

gym-marl-reconnaissance

Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams

smart_drones

Multi-Agent Reinforcement Learning for Drones

REFIL

Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

Deep_Reinforcement_Learning_Robot_Car_Confrontation

In box2d environment, complete the laser shooting battle of car 1v1 and 2v2 through the method of deep reinforcement learning.

rl-multi-agent-car-parking

Multi-Agent Car Parking using Reinforcement Learning.

MultiQuadcopterReinforcmentLearning

Multi-Critic Policy Gradient Optimization for Quadcopter Coordination

MARL_CAVs

MARL for Autonomous Vehicles

spatial-intention-maps

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

QPLEX

EMC

The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.

TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

CQL

Code for conservative Q-learning

MATD3implementation

Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

MARL

Implementation for mSAC methods in PyTorch

DI-engine

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

delay-aware-MARL

Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".

scalableMARL

Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.

macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

multi-agent-rl

off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

PettingZoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

malib

A parallel framework for population-based multi-agent reinforcement learning.

pymarl2

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

maddpg-rllib

MADDPG in Ray/RLlib

gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

DDPG_PER

Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)

maddpg-pytorch

This is pytorch version of maddpg.