Multi Robot Reinforcement Learning

Multi-robot reinforcement learning (MRRL) focuses on developing algorithms that enable groups of robots to learn coordinated behaviors through trial and error, achieving complex tasks beyond the capabilities of individual robots. Current research emphasizes scalable, distributed control policies that efficiently utilize information from all robots, often employing architectures like self-attention mechanisms and port-Hamiltonian structures to improve performance and robustness. This field is crucial for advancing robotics, as effective MRRL algorithms are essential for applications requiring collaborative robot teams in diverse environments, from warehouse automation to search and rescue operations. Standardized evaluation platforms are also emerging to facilitate rigorous comparison and advancement of MRRL techniques.

Papers

December 30, 2023

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastian, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
Reinforcement Learning Multi Agent Reinforcement Learning Multi Robot Multi Robot Problem Multi Robot Reinforcement Learning

July 29, 2023

PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
Shahab Nikkhoo, Zexin Li, Aritra Samanta, Yufei Li, Cong Liu
Reinforcement Learning Multi Agent Reinforcement Learning Health Policy Recommendation Social Dilemma Multi Robot Collaboration Multi Robot Reinforcement Learning Perverse Incentive

July 8, 2023

MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms
Reza Torbati, Shubham Lohiya, Shivika Singh, Meher Shashwat Nigam, Harish Ravichandar
Multi Agent Reinforcement Learning Multi Robot System Robot Dynamic Open Source Platform Multi Robot Reinforcement Learning

June 15, 2023

QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme
Reinforcement Learning Deep Reinforcement Learning Quadrotor Control Thrust Estimation Quadrotor Model Multi Robot Reinforcement Learning

November 29, 2022

Multi-robot Social-aware Cooperative Planning in Pedestrian Environments Using Multi-agent Reinforcement Learning
Zichen He, Chunwei Song, Lu Dong
Multi Agent Reinforcement Learning Motion Planning Task Planning Multi Robot Reinforcement Learning Pedestrian Environment

November 24, 2022

Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning
Chanyoung Park, Jae Pyoung Kim, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim
Multi Agent Reinforcement Learning Quantum Machine Learning Quantum Physic Interactive Visualization Multi Agent Reinforcement Multi Drone Process Simulation Multi Robot Reinforcement Learning

June 20, 2022

From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
Zhiuxan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Jinlin Chen, Huafeng Xu
Multi Agent Reinforcement Learning Multi Agent Multi Robot Multi Robot System Scalable Training Real World Multi Robot Evaluation Platform Multi Robot Reinforcement Learning Cooperative Lane

December 16, 2021

Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation
Enrico Marchesini, Alessandro Farinelli
Deep Reinforcement Learning Network Programming Navigation Task Action Value Function Multi Robot Reinforcement Learning

Multi Robot Reinforcement Learning

Papers

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems

PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas

MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms

QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control

Multi-robot Social-aware Cooperative Planning in Pedestrian Environments Using Multi-agent Reinforcement Learning

Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning

From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning

Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation