Concepedia

Bayesian Reinforcement Learning

Bayesian Reinforcement Learning is a framework for decision-making under uncertainty that integrates Bayesian inference with reinforcement learning by maintaining a posterior distribution over unknown environment parameters to enable adaptive and sample-efficient learning in partially observable Markov decision processes.

308

Publications

21.5K

Citations

687

Authors

279

Institutions

Publications per year

2017–2026

114

Parents

Publications

308

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Eric Brochu, Vlad M. Cora, Nando de Freitas · arXiv (Cornell University) · 2010 · 2.2K citations · Full text

, , +15

A Bayesian foundation for individual learning under uncertainty

Christoph Mathys · Frontiers in Human Neuroscience · 2011 · 710 citations · Full text

, , +16

A survey of algorithmic methods for partially observed Markov decision processes

William S. Lovejoy · Annals of Operations Research · 1991 · 545 citations

, , +13

A Knowledge-Gradient Policy for Sequential Information Collection

Peter I. Frazier, Warren B. Powell, Savaş Dayanik · SIAM Journal on Control and Optimization · 2008 · 473 citations

, , +12

The Knowledge-Gradient Policy for Correlated Normal Beliefs

Peter I. Frazier, Warren B. Powell, Savaş Dayanik · INFORMS journal on computing · 2009 · 435 citations

, , +13

1–5 of 308

Authors

687

  1. JP
    Joëlle Pineau

    McGill University, Canada

    10 publications · 658 citations

    10

    h-index

  2. FD
    Finale Doshi‐Velez

    Harvard University Press, United States

    7 publications · 380 citations

    7

    h-index

  3. GC
    Georgios Chalkiadakis

    Technical University of Crete, Greece

    6 publications · 258 citations

    6

    h-index

  4. SR
    Stéphane Ross

    Carnegie Mellon University, United States

    5 publications · 377 citations

    5

    h-index

  5. WB
    Warren B. Powell

    Princeton University, United States

    5 publications · 987 citations

    5

    h-index

1–5 of 687

Institutions

279

  1. Massachusetts Institute of Technology

    Cambridge, United States

    11 h-index

    22 publications

    942 citations

  2. McGill University

    Montreal, Canada

    9 h-index

    15 publications

    1.2K citations

  3. Princeton University

    Princeton, United States

    8 h-index

    16 publications

    2.7K citations

  4. University of Amsterdam

    Amsterdam, The Netherlands

    8 h-index

    15 publications

    753 citations

  5. University College London

    London, United Kingdom

    8 h-index

    13 publications

    642 citations

  6. University of California, Berkeley

    Berkeley, United States

    7 h-index

    8 publications

    774 citations

  7. University of Michigan

    Ann Arbor, United States

    7 h-index

    17 publications

    512 citations

  8. Stanford University

    Stanford, United States

    7 h-index

    14 publications

    1.9K citations

1–8 of 279

Venues

  1. arXiv (Cornell University)

    Repository · 38 publications · 3.9K citations

    20

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 434 citations

    10

    h-index

  3. Neural Information Processing Systems

    Conference · 6 publications · 255 citations

    6

    h-index

  4. PLoS Computational Biology

    5 publications · 625 citations

    5

    h-index

  5. Journal of Mathematical Psychology

    6 publications · 326 citations

    5

    h-index

1–5