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A Free Lunch from the Noise: Provable and Practical Exploration for
  Representation Learning

A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning

22 November 2021
Tongzheng Ren
Tianjun Zhang
Csaba Szepesvári
Bo Dai
ArXivPDFHTML

Papers citing "A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning"

4 / 4 papers shown
Title
Provable Benefits of Representational Transfer in Reinforcement Learning
Provable Benefits of Representational Transfer in Reinforcement Learning
Alekh Agarwal
Yuda Song
Wen Sun
Kaiwen Wang
Mengdi Wang
Xuezhou Zhang
OffRL
21
33
0
29 May 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free
  Representation Learning Approach
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach
Xuezhou Zhang
Yuda Song
Masatoshi Uehara
Mengdi Wang
Alekh Agarwal
Wen Sun
OffRL
18
57
0
31 Jan 2022
Model-free Representation Learning and Exploration in Low-rank MDPs
Model-free Representation Learning and Exploration in Low-rank MDPs
Aditya Modi
Jinglin Chen
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
OffRL
98
78
0
14 Feb 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
107
166
0
06 Jan 2021
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