Model-Based Bayesian Reinforcement Learning in Large Structured Domains

13 June 2012

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

16 / 16 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki P. Fränti Laura Ruotsalainen BDL AI4CE 34 0 0 12 May 2025
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang P. Fränti 3DV 25 3 0 16 Jul 2023
Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior Nele Albers Mark Antonius Neerincx Willem-Paul Brinkman 11 3 0 05 Apr 2023
Decision-Making Under Uncertainty: Beyond Probabilities Thom S. Badings T. D. Simão Marnix Suilen N. Jansen UD PER 13 12 0 10 Mar 2023
Biomanufacturing Harvest Optimization with Small Data Bo Wang Wei Xie Tugce G. Martagan A. Akçay Bram van Ravenstein 6 4 0 11 Jan 2021
Bayesian Relational Memory for Semantic Visual Navigation Yi Wu Yuxin Wu Aviv Tamar Stuart J. Russell Georgia Gkioxari Yuandong Tian BDL 8 104 0 10 Sep 2019
Bayesian Reinforcement Learning in Factored POMDPs Sammie Katt F. Oliehoek Chris Amato 10 39 0 14 Nov 2018
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach Iulian Serban Chinnadhurai Sankar Michael Pieper Joelle Pineau Yoshua Bengio OffRL 14 29 0 12 Jul 2018
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop Martin Biehl Christian Guckelsberger Christoph Salge Simón C. Smith Daniel Polani LRM AI4CE 14 25 0 21 Jun 2018
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion I. Sledge Matthew S. Emigh José C. Príncipe 15 19 0 05 Feb 2018
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016) Nancy M. Amato Charles Anderson Gregory S. Chirikjian H. Chitsaz Vishnu R. Desaraju ... Seth McCammon Nathan Michael Shawna L. Thomas Diane Uwacu Yan Yan OffRL 11 0 0 08 Oct 2016
Better Optimism By Bayes: Adaptive Planning with Rich Models A. Guez David Silver Peter Dayan OffRL 33 8 0 09 Feb 2014
Monte Carlo Bayesian Reinforcement Learning Yi Wang K. Won David Hsu Wee Sun Lee OffRL 42 45 0 27 Jun 2012
Closing the Learning-Planning Loop with Predictive State Representations Byron Boots S. Siddiqi Geoffrey J. Gordon 52 264 0 12 Dec 2009
Feature Reinforcement Learning: Part I: Unstructured MDPs Marcus Hutter 40 67 0 09 Jun 2009
Feature Markov Decision Processes Marcus Hutter 45 15 0 25 Dec 2008