Efficient Planning in Large MDPs with Weak Linear Function Approximation

13 July 2020

Papers citing "Efficient Planning in Large MDPs with Weak Linear Function Approximation"

11 / 11 papers shown

Title
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 42 10 0 05 Sep 2023
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char W. Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 43 6 0 19 Dec 2022
Linear Reinforcement Learning with Ball Structure Action Space Zeyu Jia Randy Jia Dhruv Madeka Dean Phillips Foster 23 1 0 14 Nov 2022
Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization Gergely Neu Nneka Okolo 34 6 0 21 Oct 2022
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation P. Amortila Nan Jiang Dhruv Madeka Dean Phillips Foster 21 5 0 18 Jul 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations Angeliki Kamoutsi G. Banjac John Lygeros OffRL 26 7 0 28 Dec 2021
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning Vincent Liu James Wright Martha White OffRL 31 1 0 15 Nov 2021
Efficient Local Planning with Linear Function Approximation Dong Yin Botao Hao Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári 32 19 0 12 Aug 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting Gen Li Yuxin Chen Yuejie Chi Yuantao Gu Yuting Wei OffRL 26 28 0 17 May 2021
An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap Yuanhao Wang Ruosong Wang Sham Kakade OffRL 39 43 0 23 Mar 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP Zihan Zhang Jiaqi Yang Xiangyang Ji S. Du 71 36 0 29 Jan 2021