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Variational Bayesian Optimistic Sampling

Variational Bayesian Optimistic Sampling

Neural Information Processing Systems (NeurIPS), 2021
29 October 2021
Brendan O'Donoghue
Tor Lattimore
ArXiv (abs)PDFHTML

Papers citing "Variational Bayesian Optimistic Sampling"

5 / 5 papers shown
Thompson Sampling via Fine-Tuning of LLMs
Thompson Sampling via Fine-Tuning of LLMs
Nicolas Menet
Aleksandar Terzić
Michael Hersche
Andreas Krause
Abbas Rahimi
176
0
0
15 Oct 2025
Probabilistic Inference in Reinforcement Learning Done Right
Probabilistic Inference in Reinforcement Learning Done RightNeural Information Processing Systems (NeurIPS), 2023
Jean Tarbouriech
Tor Lattimore
Brendan O'Donoghue
BDLOffRL
259
9
0
22 Nov 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
Efficient Exploration via Epistemic-Risk-Seeking Policy OptimizationInternational Conference on Machine Learning (ICML), 2023
Brendan O'Donoghue
OffRL
255
10
0
18 Feb 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for
  Last-Iterate Convergence in Constrained MDPs
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPsInternational Conference on Machine Learning (ICML), 2023
Theodore H. Moskovitz
Brendan O'Donoghue
Vivek Veeriah
Sebastian Flennerhag
Satinder Singh
Tom Zahavy
242
23
0
02 Feb 2023
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 FrameworkNeural Information Processing Systems (NeurIPS), 2022
Ziyi Huang
Henry Lam
A. Meisami
Haofeng Zhang
368
4
0
31 Jan 2022
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