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Provably Efficient Reinforcement Learning with Aggregated States

Provably Efficient Reinforcement Learning with Aggregated States

13 December 2019
Shi Dong
Benjamin Van Roy
Zhengyuan Zhou
ArXivPDFHTML

Papers citing "Provably Efficient Reinforcement Learning with Aggregated States"

3 / 3 papers shown
Title
On the Theory of Policy Gradient Methods: Optimality, Approximation, and
  Distribution Shift
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
Alekh Agarwal
Sham Kakade
Jason D. Lee
G. Mahajan
48
320
0
01 Aug 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and
  Regret Bound
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin F. Yang
Mengdi Wang
OffRL
GP
55
284
0
24 May 2019
Deep Exploration via Randomized Value Functions
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
77
302
0
22 Mar 2017
1