Efficient Bayesian Planning
Doktorsavhandling, 2022

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POMDP

Partially Observable MDP

Planning

Bayesian Reinforcement Learning

Författare

Divya Grover

Chalmers, Data- och informationsteknik, Data Science och AI

Inkluderade delarbeten

Bayesian Reinforcement Learning via Deep, Sparse Sampling

Proceedings of Machine Learning Research,;Vol. 108(2020)p. 3036-3045

Paper i proceeding

Divya Grover, Debabrota Basu, Christos Dimitrakakis. “Bayesian Reinforcement Learning via Approximate Planning in Bayes Adaptive MDP” submitted to the Journal of Artificial Intelligence Research, 2022.

Manuskript

Divya Grover, Christos Dimitrakakis. “Adaptive Belief Discretization for POMDP Planning” in 15th European Workshop on Reinforcement Learning. Milano, Italy, September 19-21, 2022.

Manuskript

Minimax-Bayes Reinforcement Learning

Proceedings of Machine Learning Research,;Vol. 206(2023)p. 7511-7527

Paper i proceeding

Populärvetenskaplig beskrivning

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Forskningsprojekt

Learning, privacy and the limits of computation

Vetenskapsrådet (VR) (2015-05410), 2016-01-01 -- 2019-12-31.

Kategorisering

Ämneskategorier (SSIF 2011)

Data- och informationsvetenskap

Sannolikhetsteori och statistik

Identifikatorer

ISBN

978-91-7905-758-9

Övrigt

Serie

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5224

Utgivare

Chalmers

Examination

2022-12-14 13:00 -- 16:00

Hall HC2, Hörsalsvägen 14

Online

Opponent: Alessandro Lazaric, Research Scientist, Facebook Artificial Intelligence Research

Mer information

Senast uppdaterat

2023-11-12