Markov Decision Processes with Continuous Side Information

Markov Decision Processes with Continuous Side Information

15 November 2017

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Papers citing "Markov Decision Processes with Continuous Side Information"

13 / 13 papers shown

Title
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang Ziying Jia George Atia Sihong He Yue Wang 95 0 0 24 May 2025
On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning M. Iannotta J. A. Stork Erik Schaffernicht Todor Stoyanov 59 0 0 08 Mar 2025
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 146 0 0 08 Aug 2024
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles Aditya Modi Nan Jiang Ambuj Tewari Satinder Singh 68 132 0 23 Oct 2019
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes Taylor W. Killian George Konidaris Finale Doshi-Velez OOD 40 9 0 01 Dec 2016
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning Christoph Dann Emma Brunskill 74 249 0 29 Oct 2015
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 89 248 0 08 Feb 2015
Online learning in MDPs with side information Yasin Abbasi-Yadkori Gergely Neu OffRL 55 18 0 26 Jun 2014
Clustering Markov Decision Processes For Continual Transfer M. H. Mahmud Majd Hawasly Benjamin Rosman S. Ramamoorthy OffRL 77 22 0 15 Nov 2013
Sample Complexity of Multi-task Reinforcement Learning Emma Brunskill Lihong Li 86 138 0 26 Sep 2013
Exploring compact reinforcement-learning representations with linear regression Thomas J. Walsh I. Szita Carlos Diuk Michael L. Littman OffRL 222 114 0 09 May 2012
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 471 2,955 0 28 Feb 2010
Contextual Bandits with Similarity Information Aleksandrs Slivkins 461 450 0 23 Jul 2009