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Is Offline Decision Making Possible with Only Few Samples? Reliable
  Decisions in Data-Starved Bandits via Trust Region Enhancement

Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement

24 February 2024
Ruiqi Zhang
Yuexiang Zhai
Andrea Zanette
ArXivPDFHTML

Papers citing "Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement"

4 / 4 papers shown
Title
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
212
832
0
12 Oct 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A
  Focussed Mini-Review
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
40
141
0
08 Feb 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear
  Mixture MDP
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
Zihan Zhang
Jiaqi Yang
Xiangyang Ji
S. Du
54
36
0
29 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,944
0
04 May 2020
1