State Aggregation Learning from Markov Transition Data

6 November 2018

Papers citing "State Aggregation Learning from Markov Transition Data"

14 / 14 papers shown

Title
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 4 0 20 Nov 2023
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 41 22 0 14 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 44 0 14 Jul 2022
Singular value distribution of dense random matrices with block Markovian dependence J. Sanders Alexander Van Werde 17 4 0 28 Apr 2022
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 40 7 0 06 Feb 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach Xuezhou Zhang Yuda Song Masatoshi Uehara Mengdi Wang Alekh Agarwal Wen Sun OffRL 32 57 0 31 Jan 2022
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 27 19 0 22 Nov 2021
Learning Topic Models: Identifiability and Finite-Sample Analysis Yinyin Chen Shishuang He Yun Yang Feng Liang 19 6 0 08 Oct 2021
An Adaptive State Aggregation Algorithm for Markov Decision Processes Guanting Chen Johann D. Gaebler M. Peng Chunlin Sun Yinyu Ye 13 6 0 23 Jul 2021
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control Amrit Singh Bedi Anjaly Parayil Junyu Zhang Mengdi Wang Alec Koppel 38 15 0 15 Jun 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 44 165 0 15 Dec 2020
Randomized Value Functions via Posterior State-Abstraction Sampling Dilip Arumugam Benjamin Van Roy OffRL 33 7 0 05 Oct 2020
Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach Mahsa Ghasemi Abolfazl Hashemi H. Vikalo Ufuk Topcu 93 5 0 27 Sep 2019