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Thompson Sampling with Approximate Inference

Thompson Sampling with Approximate Inference

14 August 2019
My Phan
Yasin Abbasi-Yadkori
Justin Domke
ArXivPDFHTML

Papers citing "Thompson Sampling with Approximate Inference"

7 / 7 papers shown
Title
Multiplier Bootstrap-based Exploration
Multiplier Bootstrap-based Exploration
Runzhe Wan
Haoyu Wei
B. Kveton
R. Song
16
2
0
03 Feb 2023
Fast online inference for nonlinear contextual bandit based on
  Generative Adversarial Network
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network
Yun-Da Tsai
Shou-De Lin
38
5
0
17 Feb 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error:
  An Enhanced Bayesian Upper Confidence Bound Framework
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang
H. Lam
A. Meisami
Haofeng Zhang
36
4
0
31 Jan 2022
Bayesian decision-making under misspecified priors with applications to
  meta-learning
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
Thodoris Lykouris
Miroslav Dudík
Robert Schapire
15
49
0
03 Jul 2021
Policy Optimization as Online Learning with Mediator Feedback
Policy Optimization as Online Learning with Mediator Feedback
Alberto Maria Metelli
Matteo Papini
P. DÓro
Marcello Restelli
OffRL
19
10
0
15 Dec 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy
  Search and Planning
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi
Felix Berkenkamp
Andreas Krause
25
82
0
15 Jun 2020
TS-UCB: Improving on Thompson Sampling With Little to No Additional
  Computation
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation
Jackie Baek
Vivek F. Farias
30
9
0
11 Jun 2020
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