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Computational-Statistical Gaps in Reinforcement Learning

Computational-Statistical Gaps in Reinforcement Learning

11 February 2022
D. Kane
Sihan Liu
Shachar Lovett
G. Mahajan
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Papers citing "Computational-Statistical Gaps in Reinforcement Learning"

4 / 4 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
38
3
0
25 Feb 2023
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
Yuda Song
Yi Zhou
Ayush Sekhari
J. Andrew Bagnell
A. Krishnamurthy
Wen Sun
OffRL
OnRL
30
90
0
13 Oct 2022
Learning in Observable POMDPs, without Computationally Intractable
  Oracles
Learning in Observable POMDPs, without Computationally Intractable Oracles
Noah Golowich
Ankur Moitra
Dhruv Rohatgi
24
26
0
07 Jun 2022
Polynomial Time Reinforcement Learning in Factored State MDPs with
  Linear Value Functions
Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions
Zihao Deng
Siddartha Devic
Brendan Juba
17
3
0
12 Jul 2021
1