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

Tianjun Zhang

Csaba Szepesvári

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

18 / 18 papers shown

Title
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 38 3 0 28 Jan 2025
Primal-Dual Spectral Representation for Off-policy Evaluation Yang Hu Tianyi Chen Na Li Kai Wang Bo Dai OffRL 34 0 0 23 Oct 2024
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak Chen-Xiao Gao Yitong Li Chenjun Xiao Bo Dai DiffM 29 3 0 23 Jun 2024
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation Chanwoo Park Mingyang Liu Dingwen Kong Kaiqing Zhang Asuman Ozdaglar 39 30 0 30 Apr 2024
Efficient Duple Perturbation Robustness in Low-rank MDPs Yang Hu Haitong Ma Bo Dai Na Li 28 0 0 11 Apr 2024
No-Regret Reinforcement Learning in Smooth MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restell 36 5 0 06 Feb 2024
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 3 0 20 Nov 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback Canzhe Zhao Ruofeng Yang Baoxiang Wang Xuezhou Zhang Shuai Li 30 2 0 14 Nov 2023
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding Tongzheng Ren Zhaolin Ren Haitong Ma Na Li Bo Dai 30 10 0 08 Apr 2023
Latent Variable Representation for Reinforcement Learning Tongzheng Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 21 10 0 17 Dec 2022
Leveraging Offline Data in Online Reinforcement Learning Andrew Wagenmaker Aldo Pacchiano OffRL OnRL 35 37 0 09 Nov 2022
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration and Planning Reda Ouhamma D. Basu Odalric-Ambrym Maillard OffRL 16 10 0 05 Oct 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 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 23 33 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 29 57 0 31 Jan 2022
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 102 78 0 14 Feb 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 166 0 06 Jan 2021