Learning in POMDPs with Monte Carlo Tree Search

14 June 2018

Papers citing "Learning in POMDPs with Monte Carlo Tree Search"

31 / 31 papers shown

Title
Rao-Blackwellized POMDP Planning Jiho Lee Nisar R. Ahmed Kyle H. Wray Zachary Sunberg 87 1 0 24 Sep 2024
Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning Manav Vora M. Grussing Melkior Ornik 57 0 0 13 Aug 2024
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation Manisha Natarajan Chunyue Xue S. V. Waveren Karen Feigh Matthew C. Gombolay 46 1 0 24 Mar 2024
Modelling crypto markets by multi-agent reinforcement learning J. Lussange Stefano Vrizzi Stefano Palminteri Boris Gutkin AIFin 59 0 0 16 Feb 2024
An investigation of belief-free DRL and MCTS for inspection and maintenance planning Daniel Koutas E. Bismut Daniel Straub 55 2 0 22 Dec 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity Joey Hong Anca Dragan Sergey Levine OffRL 64 5 0 31 Oct 2023
On-Robot Bayesian Reinforcement Learning for POMDPs Hai V. Nguyen Sammie Katt Yuchen Xiao Chris Amato OffRL 67 1 0 22 Jul 2023
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments Jonathon Schwartz H. Kurniawati Marcus Hutter OffRL LRM 67 0 0 09 Jun 2023
Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections Francesco Taioli Francesco Giuliari Yiming Wang Riccardo Berra A. Castellini Alessio Del Bue Alessandro Farinelli Marco Cristani Francesco Setti 70 1 0 06 Mar 2023
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments J. Burns A. Sundaresan Pedro Sequeira Vidyasagar Sadhu 58 0 0 03 Nov 2022
Self-Explaining Deviations for Coordination Hengyuan Hu Samuel Sokota David J. Wu A. Bakhtin Andrei Lupu Brandon Cui Jakob N. Foerster 53 2 0 13 Jul 2022
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs M. Çelikok F. Oliehoek Samuel Kaski 106 10 0 03 Apr 2022
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs Sammie Katt Hai V. Nguyen F. Oliehoek Chris Amato BDL OffRL 38 1 0 17 Feb 2022
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes Andrew Bennett Nathan Kallus OffRL 83 45 0 28 Oct 2021
Knowledge is reward: Learning optimal exploration by predictive reward cashing L. Ambrogioni 29 0 0 17 Sep 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts Amanda Prorok J. Blumenkamp Qingbiao Li Ryan Kortvelesy Yanfeng Guo Ethan Stump OffRL 67 5 0 26 Jul 2021
Preliminary Experimental Results of Context-Aware Teams of Multiple Autonomous Agents Operating under Constrained Communications J. Martinez-Lorenzo Jeffrey Hudack Yutao Jing Michael Shaham Zixuan Liang ... Juan Heredia Juesas Yuntao Ma Tristan Sweeney Nicolas Ares Ari Fox 91 0 0 25 Mar 2021
Deliberative Acting, Online Planning and Learning with Hierarchical Operational Models Sunandita Patra J. Mason M. Ghallab Dana S. Nau P. Traverso 154 11 0 02 Oct 2020
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration Joshua Lee J. Fong Bing Cai Kok Harold Soh 59 14 0 03 Aug 2020
Multi-Armed Bandits for Minesweeper: Profiting from Exploration-Exploitation Synergy Igor Q. Lordeiro D. B. Haddad Douglas O. Cardoso 15 2 0 25 Jul 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 80 15 0 11 May 2020
Integrating Acting, Planning and Learning in Hierarchical Operational Models Sunandita Patra J. Mason Amit Kumar M. Ghallab P. Traverso Dana S. Nau 30 27 0 09 Mar 2020
Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World A. Yadav 15 1 0 03 Dec 2019
Online Learning and Planning in Partially Observable Domains without Prior Knowledge Yunlong Liu Jianyang Zheng OffRL 30 4 0 11 Jun 2019
Combining Offline Models and Online Monte-Carlo Tree Search for Planning from Scratch Yunlong Liu Jianyang Zheng OffRL 21 2 0 05 Apr 2019
Incremental Learning of Discrete Planning Domains from Continuous Perceptions Luciano Serafini P. Traverso 149 4 0 14 Mar 2019
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning Macheng Shen Jonathan P. How AAML 52 13 0 14 Feb 2019
Bayesian Reinforcement Learning in Factored POMDPs Sammie Katt F. Oliehoek Chris Amato 71 40 0 14 Nov 2018
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks Seydou Ba Takuya Hiraoka Takashi Onishi T. Nakata Yoshimasa Tsuruoka 32 1 0 07 Sep 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 104 263 0 06 Jun 2018
Variational Inference for Data-Efficient Model Learning in POMDPs Sebastian Tschiatschek Kai Arulkumaran Jan Stühmer Katja Hofmann 55 15 0 23 May 2018