Spectral State Compression of Markov Processes

8 February 2018

Papers citing "Spectral State Compression of Markov Processes"

11 / 11 papers shown

Title
Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes L. Banchi 13 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 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
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 22 19 0 22 Nov 2021
Synwalk -- Community Detection via Random Walk Modelling Christian Toth D. Helic Bernhard C. Geiger 11 14 0 21 Jan 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 37 165 0 15 Dec 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration Yuchen Zhou Anru R. Zhang Lili Zheng Yazhen Wang 24 22 0 06 Oct 2020
Randomized Value Functions via Posterior State-Abstraction Sampling Dilip Arumugam Benjamin Van Roy OffRL 28 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 85 5 0 27 Sep 2019
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 15 7 0 07 Jun 2019
Blind identification of stochastic block models from dynamical observations Michael T. Schaub Santiago Segarra J. Tsitsiklis 14 33 0 22 May 2019