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Acting in Delayed Environments with Non-Stationary Markov Policies

Acting in Delayed Environments with Non-Stationary Markov Policies

28 January 2021
E. Derman
Gal Dalal
Shie Mannor
ArXivPDFHTML

Papers citing "Acting in Delayed Environments with Non-Stationary Markov Policies"

10 / 10 papers shown
Title
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel
H. Siegelmann
OffRL
37
0
0
11 Oct 2024
DEER: A Delay-Resilient Framework for Reinforcement Learning with
  Variable Delays
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays
Bo Xia
Yilun Kong
Yongzhe Chang
Bo Yuan
Zhiheng Li
Xueqian Wang
Bin Liang
OffRL
55
3
0
05 Jun 2024
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote
  Teleoperation with Stochastic Time Delays
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays
Lucy McCutcheon
Saber Fallah
38
0
0
26 May 2023
Twice Regularized Markov Decision Processes: The Equivalence between
  Robustness and Regularization
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
E. Derman
Yevgeniy Men
M. Geist
Shie Mannor
45
1
0
12 Mar 2023
Neural Laplace Control for Continuous-time Delayed Systems
Neural Laplace Control for Continuous-time Delayed Systems
Samuel Holt
Alihan Huyuk
Zhaozhi Qian
Hao Sun
M. Schaar
OffRL
34
10
0
24 Feb 2023
Off-Beat Multi-Agent Reinforcement Learning
Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu
Weixun Wang
R. Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
33
2
0
27 May 2022
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Tiancheng Jin
Tal Lancewicki
Haipeng Luo
Yishay Mansour
Aviv A. Rosenberg
74
21
0
31 Jan 2022
Planning and Learning with Adaptive Lookahead
Planning and Learning with Adaptive Lookahead
Aviv A. Rosenberg
Assaf Hallak
Shie Mannor
Gal Chechik
Gal Dalal
32
7
0
28 Jan 2022
Revisiting State Augmentation methods for Reinforcement Learning with
  Stochastic Delays
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath
Mayank Baranwal
H. Khadilkar
OffRL
35
28
0
17 Aug 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
27
6
0
07 Jul 2021
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