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

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

22 November 2021

Tianjun Zhang

Csaba Szepesvári

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

9 / 9 papers shown

Title
AmorLIP: Efficient Language-Image Pretraining via Amortization Haotian Sun Yitong Li Yuchen Zhuang Niao He Hanjun Dai Bo Dai VLM 86 0 0 25 May 2025
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation Chanwoo Park Mingyang Liu Dingwen Kong Kaiqing Zhang Asuman Ozdaglar 144 41 0 30 Apr 2024
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding Zhaolin Ren Tongzheng Ren Haitong Ma Na Li Bo Dai 107 10 0 08 Apr 2023
Latent Variable Representation for Reinforcement Learning Zhaolin Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 102 10 0 17 Dec 2022
Leveraging Offline Data in Online Reinforcement Learning Andrew Wagenmaker Aldo Pacchiano OffRL OnRL 103 41 0 09 Nov 2022
Spectral Decomposition Representation for Reinforcement Learning Zhaolin Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 98 29 0 19 Aug 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Zhaolin Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 74 44 0 14 Jul 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 102 35 0 29 May 2022
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 125 58 0 31 Jan 2022