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

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

26 July 2021
Gangshan Jing
H. Bai
Jemin George
A. Chakrabortty
P. Sharma
ArXivPDFHTML

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

4 / 4 papers shown
Title
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Haibo Yang
Haibo Yang
FedML
59
3
0
24 May 2024
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic
  Optimization
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Le‐Yu Chen
Jing Xu
Luo Luo
31
15
0
16 Jan 2023
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without
  Gradients
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang
Huan Xiong
Bin Gu
32
7
0
04 Oct 2022
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced
  Local Value Functions
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
Gangshan Jing
H. Bai
Jemin George
A. Chakrabortty
P. Sharma
30
2
0
26 Feb 2022
1