Rollout Sampling Approximate Policy Iteration

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Rollout Sampling Approximate Policy Iteration

Machine-mediated learning (ML), 2008

14 May 2008

Christos Dimitrakakis

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Papers citing "Rollout Sampling Approximate Policy Iteration"

13 / 13 papers shown

Title
An Approximate Policy Iteration Viewpoint of Actor-Critic Algorithms Zaiwei Chen S. T. Maguluri 161 2 0 05 Aug 2022
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems Sushmita Bhattacharya Siva Kailas Sahil Badyal Stephanie Gil Dimitri Bertsekas 153 27 0 09 Nov 2020
Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair ProblemsIEEE Robotics and Automation Letters (RA-L), 2020 Sushmita Bhattacharya Sahil Badyal Thomas Wheeler Stephanie Gil Dimitri Bertsekas 168 37 0 11 Feb 2020
MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems Fan Wang Xiaomin Fang Lihang Liu Hao Tian Zhiming Peng OffRL 98 0 0 06 Nov 2019
Decision Automation for Electric Power Network Recovery Yugandhar Sarkale S. Nozhati Edwin K. P. Chong B. Ellingwood 77 1 0 01 Oct 2019
Approximate Policy Iteration for Budgeted Semantic Video Segmentation Behrooz Mahasseni S. Todorovic Alan Fern 140 4 0 26 Jul 2016
Structural Return Maximization for Reinforcement Learning J. Joseph Javier Vélez Nicholas Roy OffRL 105 0 0 12 May 2014
Learning States Representations in POMDPInternational Conference on Learning Representations (ICLR), 2013 Gabriella Contardo Ludovic Denoyer Thierry Artières Patrick Gallinari 238 7 0 20 Dec 2013
Sequentially Generated Instance-Dependent Image Representations for ClassificationInternational Conference on Learning Representations (ICLR), 2013 Gabriel Dulac-Arnold Ludovic Denoyer Nicolas Thome Matthieu Cord Patrick Gallinari 391 21 0 20 Dec 2013
ABC Reinforcement LearningInternational Conference on Machine Learning (ICML), 2013 Christos Dimitrakakis Nikolaos Tziortziotis BDL OffRL 220 6 0 27 Mar 2013
Rollout Sampling Policy Iteration for Decentralized POMDPsConference on Uncertainty in Artificial Intelligence (UAI), 2010 Feng Wu S. Zilberstein Xiaoping Chen 252 30 0 15 Mar 2012
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization Gabriel Dulac-Arnold Ludovic Denoyer Philippe Preux Patrick Gallinari OffRL 294 24 0 29 Feb 2012
Sparse Reward Processes Christos Dimitrakakis 168 2 0 12 Jan 2012