Spectral State Compression of Markov Processes

8 February 2018

Papers citing "Spectral State Compression of Markov Processes"

15 / 15 papers shown

Title
Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes L. Banchi 42 3 0 20 Dec 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 46 23 0 14 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 51 27 0 19 Aug 2022
Singular value distribution of dense random matrices with block Markovian dependence J. Sanders Alexander Van Werde 50 4 0 28 Apr 2022
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 39 20 0 22 Nov 2021
Learning Good State and Action Representations via Tensor Decomposition Chengzhuo Ni Yaqi Duan M. Dahleh Anru R. Zhang Mengdi Wang 34 7 0 03 May 2021
Synwalk -- Community Detection via Random Walk Modelling Christian Toth D. Helic Bernhard C. Geiger 32 14 0 21 Jan 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 66 166 0 15 Dec 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration Yuchen Zhou Anru R. Zhang Lili Zheng Yazhen Wang 39 22 0 06 Oct 2020
Randomized Value Functions via Posterior State-Abstraction Sampling Dilip Arumugam Benjamin Van Roy OffRL 41 7 0 05 Oct 2020
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 36 93 0 24 Jun 2020
Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach Mahsa Ghasemi Abolfazl Hashemi H. Vikalo Ufuk Topcu 103 5 0 27 Sep 2019
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 31 7 0 07 Jun 2019
Blind identification of stochastic block models from dynamical observations Michael T. Schaub Santiago Segarra J. Tsitsiklis 21 34 0 22 May 2019
State Aggregation Learning from Markov Transition Data Shiqi Wang Yizheng Chen Ahmed Abdou 37 54 0 06 Nov 2018