Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent

26 July 2021

Papers citing "Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent"

20 / 20 papers shown

Title
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li Bicheng Ying Zidong Liu Chaosheng Dong Haibo Yang FedML 108 3 0 24 May 2024
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 32 41 0 29 Jul 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization HanQin Cai Y. Lou Daniel McKenzie W. Yin 65 43 0 21 Feb 2021
Distributed Zero-Order Optimization under Adversarial Noise A. Akhavan Massimiliano Pontil Alexandre B. Tsybakov 28 20 0 01 Feb 2021
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation Gangshan Jing H. Bai Jemin George A. Chakrabortty 31 18 0 14 Aug 2020
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion Brian Swenson Ryan W. Murray H. Vincent Poor S. Kar 51 16 0 12 Aug 2020
A New One-Point Residual-Feedback Oracle For Black-Box Learning and Control Yan Zhang Yi Zhou Kaiyi Ji Michael M. Zavlanos 62 40 0 18 Jun 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach Yingying Li Yujie Tang Runyu Zhang Na Li 50 101 0 19 Dec 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik A. Pananjady Kush S. Bhatia K. Khamaru Peter L. Bartlett Martin J. Wainwright 48 198 0 20 Dec 2018
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms Haoran Sun Mingyi Hong 35 52 0 08 Apr 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 68 584 0 23 Feb 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 77 599 0 15 Jan 2018
Zeroth Order Nonconvex Multi-Agent Optimization over Networks Davood Hajinezhad Mingyi Hong Alfredo García 51 80 0 27 Oct 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 67 1,864 0 14 Aug 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 125 4,441 0 07 Jun 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability Shayegan Omidshafiei Jason Pazis Chris Amato Jonathan P. How J. Vian 105 497 0 17 Mar 2017
Coordinate Friendly Structures, Algorithms and Applications Zhimin Peng Tianyu Wu Yangyang Xu Ming Yan W. Yin 66 74 0 05 Jan 2016
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback Ohad Shamir 51 259 0 31 Jul 2015
$QD$ -Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations S. Kar José M. F. Moura H. Vincent Poor 74 189 0 30 Apr 2012
Iteration Complexity of Randomized Block-Coordinate Descent Methods for Minimizing a Composite Function Peter Richtárik Martin Takáč 86 769 0 14 Jul 2011