$QD$ -Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations

30 April 2012

Papers citing "$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations"

27 / 27 papers shown

Title
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR Shahbaz P Qadri Syed He Bai 43 0 0 29 Apr 2025
Generative Multi-Agent Q-Learning for Policy Optimization: Decentralized Wireless Networks Talha Bozkus U. Mitra OffRL 45 0 0 07 Mar 2025
OCMDP: Observation-Constrained Markov Decision Process Taiyi Wang Jianheng Liu Bryan Lee Zhihao Wu Yu Wu 36 1 0 11 Nov 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 49 2 0 05 Jun 2023
Policy Evaluation in Decentralized POMDPs with Belief Sharing Mert Kayaalp Fatima Ghadieh Ali H. Sayed 19 2 0 08 Feb 2023
Cooperative Actor-Critic via TD Error Aggregation Martin Figura Yixuan Lin Ji Liu V. Gupta 28 1 0 25 Jul 2022
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph Gangshan Jing H. Bai Jemin George A. Chakrabortty P. Sharma OffRL 26 6 0 10 Jan 2022
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 37 4 0 22 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao Lin F. Yang Kaipeng Zhang Tamer Bacsar 43 57 0 12 Oct 2021
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning Jayson G. Boubin Codi Burley Peida Han Bowen Li Barry Porter Christopher Stewart 25 3 0 21 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu Qiang Liu Peter Stone Animesh Garg Yuke Zhu Anima Anandkumar 41 50 0 18 May 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications Arsham Mostaani T. Vu Shree Krishna Sharma Van-Dinh Nguyen Qi Liao Symeon Chatzinotas 27 16 0 14 Feb 2021
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 32 26 0 21 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 31 69 0 11 Jun 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 18 33 0 05 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019
A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors Pietro Pierpaoli Thinh T. Doan Justin Romberg M. Egerstedt 10 4 0 12 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 53 413 0 11 Aug 2019
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation Thinh T. Doan S. T. Maguluri Justin Romberg 30 41 0 25 Jul 2019
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates Lucas Cassano Kun Yuan Ali H. Sayed 22 39 0 17 Oct 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kaipeng Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 43 582 0 23 Feb 2018
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning Sergio Valcarcel Macua Aleksi Tukiainen D. Hernández David Baldazo Enrique Munoz de Cote S. Zazo 32 29 0 28 Oct 2017
Distributed Constrained Recursive Nonlinear Least-Squares Estimation: Algorithms and Asymptotics Anit Kumar Sahu S. Kar José M. F. Moura H. Vincent Poor 20 41 0 01 Feb 2016
Social Learning and Distributed Hypothesis Testing Anusha Lalitha T. Javidi Anand D. Sarwate 32 178 0 16 Oct 2014
Distributed Reinforcement Learning via Gossip Adwaitvedant S. Mathkar Vivek Borkar FedML 40 60 0 28 Oct 2013

QDQDQD-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations

Papers citing "$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations"

$QD$ -Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations