Multi Agent Reinforcement

Multi-agent reinforcement learning (MARL) focuses on enabling multiple independent agents to learn optimal strategies within a shared environment, often to achieve a collective goal. Current research emphasizes improving training efficiency and scalability through techniques like sparse training, large neighborhood search, and leveraging large language models for high-level planning, as well as addressing challenges like robustness to uncertainty and efficient communication in decentralized settings. These advancements are significant for diverse applications, including robotics, economics, and resource management, by enabling the development of more efficient and adaptable multi-agent systems.

Papers

May 31, 2023

AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization
Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani
Policy Reinforcement Learning Multiple Agent Experience Replay Multi Agent Reinforcement

May 27, 2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou, Shunyu Liu, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song
Multi Agent Reinforcement Learning Cooperative Multi Agent Reinforcement Learning Centralized Training Multi Agent Reinforcement Local Level Decentralized Execution

May 4, 2023

Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian J. Ratliff, Byron Boots, Joshua R. Smith
Multiple Agent Emergent Behavior Stackelberg Game Multi Agent Reinforcement Multi Agent Deep Deterministic Policy

April 25, 2023

Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Min Yang, Guanjun Liu, Ziyuan Zhou
Multi Agent Reinforcement Learning Graph Attention Multi Agent Reinforcement Mean Field Reinforcement Learning

March 23, 2023

Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
Baidi Xiao, Rongpeng Li, Fei Wang, Chenghui Peng, Jianjun Wu, Zhifeng Zhao, Honggang Zhang
Multi Agent Reinforcement Learning Vehicle Plan Vehicular Network Multi Agent Reinforcement Value Decomposition Autonomous Vehicle Control

January 17, 2023

Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini, Ajay Shankar, Amanda Prorok
Heterogeneous Graph Neural Network Multi Agent Reinforcement Heterogeneous Multi Agent Reinforcement Learning

December 13, 2022

Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems
Xin Liu, Honghao Wei, Lei Ying
Multi Agent Reinforcement Learning Policy Gradient Potential Scalability Sample Efficiency Multi Agent Reinforcement Policy Gradient Algorithm Stationary Policy

December 5, 2022

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
Multiple Agent Multi Agent Reinforcement Parallel Program

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 Multi Robot Reinforcement Learning Process Simulation

November 18, 2022

Credit-cognisant reinforcement learning for multi-agent cooperation
F. Bredell, H. A. Engelbrecht, J. C. Schoeman
Reinforcement Learning Deep Q Learning Multi Agent Reinforcement Multi Agent Cooperation Independent Q Learning

October 24, 2022

The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning
Enyu Zhao, Chanjuan Liu, Houfu Su, Yang Liu
Reinforcement Learning Product Design Multi Agent System Multi Agent Reinforcement Multi Agent Navigation Multi Agent Deep Deterministic Policy

August 7, 2022

Multi-agent reinforcement learning for intent-based service assurance in cellular networks
Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey
Multi Agent Reinforcement Learning Closed Loop Multi Agent Reinforcement Cellular Network Intent Assurance Intent Based Complex Coordination

April 26, 2022

PP-MARL: Efficient Privacy-Preserving MARL for Cooperative Intelligence in Communication
Tingting Yuan, Hwei-Ming Chung, Xiaoming Fu
Unmanned Aerial Vehicle Timely Communication Edge Intelligence Collective Intelligence Multi Agent Reinforcement Cooperative AI Collaborative Intelligence

March 20, 2022

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim
Reinforcement Learning Multi Agent Reinforcement Learning Quantum Computing Quantum Physic Variational Quantum Circuit Multi Agent Reinforcement

March 14, 2022

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications
Tim Tsz-Kit Lau, Biswa Sengupta
Multi Agent Reinforcement Learning Multi Agent Path Finding Multi Agent Reinforcement Delivery Problem Conflict Based Search Multi Agent Pickup Warehouse Automation Intelligent Warehouse

February 28, 2022

Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Multi Agent Reinforcement Learning Mean Field Limited Field Natural Policy Gradient Multi Agent Reinforcement Non Uniform

December 16, 2021

Learning to Share in Multi-Agent Reinforcement Learning
Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu
LeArning Abstract Multi Agent Reinforcement Learning Prior Policy Multi Agent Reinforcement

November 30, 2021

The Power of Communication in a Distributed Multi-Agent System
Philipp Dominic Siedler
Multi Agent System Real Power Timely Communication Observable Markov Decision Process Multi Agent Reinforcement

November 20, 2021

Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods
Yang Hu, Zhui Zhu, Sirui Song, Xue Liu, Yang Yu
Multi Agent Reinforcement Learning First Integral Multi Agent Reinforcement Pandemic Control Collaborative Decision Informed Consent

Multi Agent Reinforcement

Papers

AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula

Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention

Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles

Heterogeneous Multi-Robot Reinforcement Learning

Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance

Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning

Credit-cognisant reinforcement learning for multi-agent cooperation

The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning

Multi-agent reinforcement learning for intent-based service assurance in cellular networks

PP-MARL: Efficient Privacy-Preserving MARL for Cooperative Intelligence in Communication

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications

Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?

Learning to Share in Multi-Agent Reinforcement Learning

The Power of Communication in a Distributed Multi-Agent System

Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods