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Federated Control in Markov Decision Processes

Federated Control in Markov Decision Processes

Hao Jin
Yang Peng
Liangyu Zhang
Zhihua Zhang
ArXiv (abs)PDFHTML

Papers citing "Federated Control in Markov Decision Processes"

7 / 7 papers shown
Title
Federated Reinforcement Learning with Environment Heterogeneity
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin
Yang Peng
Wenhao Yang
Shusen Wang
Zhihua Zhang
91
75
0
06 Apr 2022
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
104
131
0
26 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
352
1,687
0
02 Feb 2020
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Xueying Bai
Jian Guan
Hongning Wang
OffRL
60
75
0
10 Nov 2019
Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal
Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal
Alekh Agarwal
Sham Kakade
Lin F. Yang
OffRL
91
175
0
10 Jun 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
61
266
0
20 Apr 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu
Lujia Wang
Ming-Yuan Liu
83
250
0
19 Jan 2019