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Dynamic Online Recommendation for Two-Sided Market with Bayesian
  Incentive Compatibility

Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility

4 June 2024
Yuantong Li
Guang Cheng
Xiaowu Dai
ArXivPDFHTML

Papers citing "Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility"

4 / 4 papers shown
Title
Anytime-valid off-policy inference for contextual bandits
Anytime-valid off-policy inference for contextual bandits
Ian Waudby-Smith
Lili Wu
Aaditya Ramdas
Nikos Karampatziakis
Paul Mineiro
OffRL
43
25
0
19 Oct 2022
Regret Bounds for Information-Directed Reinforcement Learning
Regret Bounds for Information-Directed Reinforcement Learning
Botao Hao
Tor Lattimore
OffRL
41
17
0
09 Jun 2022
Contextual Information-Directed Sampling
Contextual Information-Directed Sampling
Botao Hao
Tor Lattimore
Chao Qin
45
13
0
22 May 2022
Online Bootstrap Inference For Policy Evaluation in Reinforcement
  Learning
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
Pratik Ramprasad
Yuantong Li
Zhuoran Yang
Zhaoran Wang
W. Sun
Guang Cheng
OffRL
50
27
0
08 Aug 2021
1