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Model-Based Bayesian Reinforcement Learning in Large Structured Domains

Model-Based Bayesian Reinforcement Learning in Large Structured Domains

Conference on Uncertainty in Artificial Intelligence (UAI), 2008
13 June 2012
Stéphane Ross
Joelle Pineau
    BDL
ArXiv (abs)PDFHTML

Papers citing "Model-Based Bayesian Reinforcement Learning in Large Structured Domains"

13 / 13 papers shown
Curious Causality-Seeking Agents Learn Meta Causal World
Curious Causality-Seeking Agents Learn Meta Causal World
Zhiyu Zhao
Xue Yang
Haifeng Zhang
Jun Wang
Francesco Faccio
Jürgen Schmidhuber
Mengyue Yang
CMLLRM
378
1
0
29 Jun 2025
Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using
  States and User Characteristics to Predict Behavior
Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict BehaviorAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Nele Albers
Mark Antonius Neerincx
Willem-Paul Brinkman
253
7
0
05 Apr 2023
Decision-Making Under Uncertainty: Beyond Probabilities
Decision-Making Under Uncertainty: Beyond ProbabilitiesInternational Journal on Software Tools for Technology Transfer (STTT) (STTT), 2023
Thom S. Badings
T. D. Simão
Marnix Suilen
N. Jansen
UDPER
317
18
0
10 Mar 2023
Biomanufacturing Harvest Optimization with Small Data
Biomanufacturing Harvest Optimization with Small DataProduction and operations management (POM), 2021
Bo Wang
Wei Xie
Tugce G. Martagan
A. Akçay
Bram van Ravenstein
444
7
0
11 Jan 2021
Bayesian Relational Memory for Semantic Visual Navigation
Bayesian Relational Memory for Semantic Visual NavigationIEEE International Conference on Computer Vision (ICCV), 2019
Yi Wu
Yuxin Wu
Aviv Tamar
Stuart J. Russell
Georgia Gkioxari
Yuandong Tian
BDL
408
114
0
10 Sep 2019
Bayesian Reinforcement Learning in Factored POMDPs
Bayesian Reinforcement Learning in Factored POMDPs
Sammie Katt
F. Oliehoek
Chris Amato
185
43
0
14 Nov 2018
Expanding the Active Inference Landscape: More Intrinsic Motivations in
  the Perception-Action Loop
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Martin Biehl
Christian Guckelsberger
Christoph Salge
Simón C. Smith
Daniel Polani
LRMAI4CE
351
28
0
21 Jun 2018
Guided Policy Exploration for Markov Decision Processes using an
  Uncertainty-Based Value-of-Information Criterion
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion
I. Sledge
Matthew S. Emigh
José C. Príncipe
230
20
0
05 Feb 2018
Better Optimism By Bayes: Adaptive Planning with Rich Models
Better Optimism By Bayes: Adaptive Planning with Rich Models
A. Guez
David Silver
Peter Dayan
OffRL
328
8
0
09 Feb 2014
Monte Carlo Bayesian Reinforcement Learning
Monte Carlo Bayesian Reinforcement LearningInternational Conference on Machine Learning (ICML), 2012
Yi Wang
K. Won
David Hsu
Wee Sun Lee
OffRL
256
44
0
27 Jun 2012
Closing the Learning-Planning Loop with Predictive State Representations
Closing the Learning-Planning Loop with Predictive State Representations
Byron Boots
S. Siddiqi
Geoffrey J. Gordon
555
270
0
12 Dec 2009
Feature Reinforcement Learning: Part I: Unstructured MDPs
Feature Reinforcement Learning: Part I: Unstructured MDPsJournal of Artificial General Intelligence (JAGI), 2009
Marcus Hutter
369
69
0
09 Jun 2009
Feature Markov Decision Processes
Feature Markov Decision Processes
Marcus Hutter
354
16
0
25 Dec 2008
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