Posterior Sampling-based Online Learning for Episodic POMDPs

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Posterior Sampling-based Online Learning for Episodic POMDPs

16 October 2023

Pierluigi Nuzzo

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Papers citing "Posterior Sampling-based Online Learning for Episodic POMDPs"

13 / 13 papers shown

Title
Lower Bounds for Learning in Revealing POMDPs Fan Chen Haiquan Wang Caiming Xiong Song Mei Yu Bai 55 11 0 02 Feb 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability Jonathan Lee Alekh Agarwal Christoph Dann Tong Zhang 63 21 0 31 Jan 2023
GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond Han Zhong Wei Xiong Sirui Zheng Liwei Wang Zhaoran Wang Zhuoran Yang Tong Zhang 44 31 0 03 Nov 2022
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms Fan Chen Yu Bai Song Mei 90 22 0 29 Sep 2022
PAC Reinforcement Learning for Predictive State Representations Wenhao Zhan Masatoshi Uehara Wen Sun Jason D. Lee 56 39 0 12 Jul 2022
When Is Partially Observable Reinforcement Learning Not Scary? Qinghua Liu Alan Chung Csaba Szepesvári Chi Jin 50 98 0 19 Apr 2022
Sublinear Regret for Learning POMDPs Yi Xiong Ningyuan Chen Xuefeng Gao Xiang Zhou 68 25 0 08 Jul 2021
The Elliptical Potential Lemma Revisited Alexandra Carpentier Claire Vernade Yasin Abbasi-Yadkori 170 21 0 20 Oct 2020
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 158 1,057 0 18 Oct 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 532 19,265 0 20 Jul 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 85 261 0 01 Jul 2016
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 443 1,147 0 29 Oct 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 169 4,309 0 18 Nov 2011

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