xiyou521 Goto Github PK

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A navigation algorithm for Deep Reinforcement Learning developed using the Hierarchical framework.

-agv-

Robotic Order Fulfillment System Using Kiva-like mobile robots. Conflict-based Search multi-robot path planning.

-uat-

cm3

Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

ddma

Code for the paper "DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning" presented at PRICAI 2022.

dqn-multi-agent-rl

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)

drl_nav

Robot Formation Navigation in Gazebo with Deep Reinforcement Learning.

explore-bench

fcmadrl

Fully Cooperative Multi-Agent Deep Reinforcement Learning

gazebo-

This Gazebo world is well suited for organizations who are building and testing robot applications for warehouse and logistics use cases.

hrse_ddpg

iql-maddpg_mpe

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

liubianxing

Partially observable multi agent environment for mixed - motive decision making

liushunyu.github.io

Richard's Blog

ma-minigrid-maddpg

An implementation of shariqiqbal2810's maddpg-pytorch on a multi-agent minigrid environment

maddpg-mpe-pytorch

implementation of MADDPG using PyTorch and multiagent-particle-envs

maddpg_ros

Combine MADDPG and ROS.

mappo

Lightweight multi-agent PPO for IEEE field.

mappo_mpe

MPE for mappo

marl-code-pytorch

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

multi-robot-rrt-exploration-noetic

A platform for executing RRT exploration in ROS Noetic and Ubuntu 20.04LTS

multi_turtlebot3_noetic

pogema-baselines

rl-collision-avoidance

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

seac

The official code base of Shared Experience Actor-Critic (NeurIPS2020)

snakes_maddpg

Multi-agent learning on an OpenAI snake game implementation.

spatial-intention-maps

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

tb3_ddpg_ram-5

Introduction of Intelligent Vehicle 2021 Final Project

tb3mappo-maybe-

uav

Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3DDPG.