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TensorPlan and the Few Actions Lower Bound for Planning in MDPs under
  Linear Realizability of Optimal Value Functions

TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions

5 October 2021
Gellert Weisz
Csaba Szepesvári
András Gyorgy
ArXivPDFHTML

Papers citing "TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions"

5 / 5 papers shown
Title
Exponential Hardness of Reinforcement Learning with Linear Function
  Approximation
Exponential Hardness of Reinforcement Learning with Linear Function Approximation
Daniel M. Kane
Sihan Liu
Shachar Lovett
G. Mahajan
Csaba Szepesvári
Gellert Weisz
46
3
0
25 Feb 2023
Linear Reinforcement Learning with Ball Structure Action Space
Linear Reinforcement Learning with Ball Structure Action Space
Zeyu Jia
Randy Jia
Dhruv Madeka
Dean Phillips Foster
28
1
0
14 Nov 2022
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and
  Linear Value Approximation
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
P. Amortila
Nan Jiang
Dhruv Madeka
Dean Phillips Foster
29
5
0
18 Jul 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and
  Conditional Embeddings
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
60
6
0
24 Jun 2022
Stabilizing Q-learning with Linear Architectures for Provably Efficient
  Learning
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning
Andrea Zanette
Martin J. Wainwright
OOD
38
5
0
01 Jun 2022
1