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Posterior Sampling with Delayed Feedback for Reinforcement Learning with
  Linear Function Approximation

Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation

29 October 2023
Nikki Lijing Kuang
Ming Yin
Mengdi Wang
Yu-Xiang Wang
Yian Ma
ArXivPDFHTML

Papers citing "Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation"

8 / 8 papers shown
Title
Provable and Practical: Efficient Exploration in Reinforcement Learning
  via Langevin Monte Carlo
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq
Qingfeng Lan
Pan Xu
A. R. Mahmood
Doina Precup
Anima Anandkumar
Kamyar Azizzadenesheli
BDL
OffRL
18
20
0
29 May 2023
Reinforcement Learning with Delayed, Composite, and Partially Anonymous
  Reward
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward
Washim Uddin Mondal
Vaneet Aggarwal
19
2
0
04 May 2023
Offline Reinforcement Learning with Differentiable Function
  Approximation is Provably Efficient
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
Ming Yin
Mengdi Wang
Yu-Xiang Wang
OffRL
46
11
0
03 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 Mar 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
61
21
0
31 Jan 2022
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value
  Iteration
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
Priyank Agrawal
Jinglin Chen
Nan Jiang
24
18
0
23 Oct 2020
Reinforcement Learning with Random Delays
Reinforcement Learning with Random Delays
Simon Ramstedt
Yann Bouteiller
Giovanni Beltrame
C. Pal
Jonathan Binas
107
59
0
06 Oct 2020
Optimism in Reinforcement Learning with Generalized Linear Function
  Approximation
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang
Ruosong Wang
S. Du
A. Krishnamurthy
127
135
0
09 Dec 2019
1