Provably Efficient Representation Learning with Tractable Planning in
Low-Rank POMDP

Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP

21 June 2023

Papers citing "Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP"

10 / 10 papers shown

Title
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs Yuheng Zhang Nan Jiang OffRL 59 0 0 03 Mar 2025
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak Chen-Xiao Gao Yitong Li Chenjun Xiao Bo Dai DiffM 19 3 0 23 Jun 2024
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning Michael Lanier Ying Xu Nathan Jacobs Chongjie Zhang Yevgeniy Vorobeychik 16 2 0 14 Feb 2024
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 32 3 0 20 Nov 2023
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations Ruiquan Huang Yitao Liang J. Yang OffRL 16 5 0 01 Jul 2023
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun OffRL 47 31 0 24 Jun 2022
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 41 17 0 26 May 2022
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 95 78 0 14 Feb 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 107 166 0 06 Jan 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 259 337 0 14 Sep 2020