Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning

Miloš S. Stanković, Marko Beko, Srdjan S. Stanković

Type: Preprint

Publication Date: 2020-06-18

Citations: 0

Locations

arXiv (Cornell University) - View

Similar Works

Action	Title	Year	Authors
+	Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning	2020	Miloš S. Stanković Marko Beko Srdjan Stanković
+ PDF Chat	Distributed Value Function Approximation for Collaborative Multiagent Reinforcement Learning	2021	Miloš S. Stanković Marko Beko Srdjan Stanković
+	Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning	2019	Thinh T. Doan Siva Theja Maguluri Justin Romberg
+	Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation	2019	Thinh T. Doan Siva Theja Maguluri Justin Romberg
+	Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation	2019	Thinh T. Doan Siva Theja Maguluri Justin Romberg
+	Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation	2022	Xingang Guo Bin Hu
+	A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning	2020	Wesley A. Suttle Zhuoran Yang Kaiqing Zhang Zhaoran Wang Tamer Başar Ji Liu
+	A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning	2019	Wesley A. Suttle Zhuoran Yang Kaiqing Zhang Zhaoran Wang Tamer Başar Ji Liu
+	The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication	2021	Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang
+ PDF Chat	The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning With Efficient Communication	2023	Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang
+ PDF Chat	Primal-Dual Algorithm for Distributed Reinforcement Learning: Distributed GTD	2018	Donghwan Lee Hyung‐Jin Yoon Naira Hovakimyan
+	Primal-Dual Algorithm for Distributed Reinforcement Learning: Distributed GTD	2018	Donghwan Lee Hyung‐Jin Yoon Naira Hovakimyan
+	Primal-Dual Algorithm for Distributed Reinforcement Learning: Distributed GTD	2018	Donghwan Lee Hyung‐Jin Yoon Naira Hovakimyan
+	An O.D.E. Framework of Distributed TD-Learning for Networked Multi-Agent Markov Decision Processes	2023	Okyong Choi Donghwan Lee
+	Finite-Time Error Bounds for Distributed Linear Stochastic Approximation	2021	Yixuan Lin Vijay Gupta Ji Liu
+	A primal-dual perspective for distributed TD-learning	2023	Han-Dong Lim Donghwan Lee
+ PDF Chat	Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning	2022	Sihan Zeng Thinh T. Doan Justin Romberg
+ PDF Chat	${{\cal Q} {\cal D}}$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through ${\rm Consensus} + {\rm Innovations}$	2013	Soummya Kar José M. F. Moura H. Vincent Poor
+	Distributed Policy Evaluation Under Multiple Behavior Strategies	2013	Sergio Valcárcel Macua Jianshu Chen Santiago Zazo Ali H. Sayed
+ PDF Chat	Distributed Policy Evaluation Under Multiple Behavior Strategies	2014	Sergio Valcárcel Macua Jianshu Chen Santiago Zazo Ali H. Sayed

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (19)

Action	Title	Year	Authors
+ PDF Chat	${{\cal Q} {\cal D}}$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through ${\rm Consensus} + {\rm Innovations}$	2013	Soummya Kar José M. F. Moura H. Vincent Poor
+ PDF Chat	Performance of a Distributed Stochastic Approximation Algorithm	2013	Pascal Bianchi Gersende Fort Walid Hachem
+ PDF Chat	Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks	2012	Sheng-Yuan Tu Ali H. Sayed
+ PDF Chat	Asynchronous Stochastic Approximations	1998	Vivek S. Borkar
+ PDF Chat	Distributed Optimization Over Time-Varying Directed Graphs	2014	Angelia Nedić Alex Olshevsky
+ PDF Chat	Distributed Policy Evaluation Under Multiple Behavior Strategies	2014	Sergio Valcárcel Macua Jianshu Chen Santiago Zazo Ali H. Sayed
+ PDF Chat	On Generalized Bellman Equations and Temporal-Difference Learning	2017	Huizhen Yu Ashique Rupam Mahmood Richard S. Sutton
+	On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning	2017	Huizhen Yu
+ PDF Chat	Competing soft phonon modes at the charge-density-wave transitions in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>DyT</mml:mi><mml:msub><mml:mi mathvariant="normal">e</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>	2018	M. Maschek D. A. Zocco Stephan Rosenkranz R. Heid Ayman Said Ahmet Alatas Philip Walmsley I. R. Fisher F. Weber
+	SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation	2017	Bo Dai Albert Shaw Lihong Li Lin Xiao Niao He Zhen Liu Jianshu Chen Le Song