Nearly Minimax Algorithms for Linear Bandits with Shared Representation

Nearly Minimax Algorithms for Linear Bandits with Shared Representation

29 March 2022

Papers citing "Nearly Minimax Algorithms for Linear Bandits with Shared Representation"

16 / 16 papers shown

Title
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process Rui Lu Yang Yue Andrew Zhao S. Du Gao Huang OffRL 49 1 0 01 Mar 2025
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits Thang Duong Zhi Wang Chicheng Zhang 34 0 0 23 Jan 2025
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples Thomas T. Zhang Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni CML OOD 31 0 0 15 Oct 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective Yang Chen Cong Fang Zhouchen Lin Bing Liu 19 0 0 17 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 61 2 0 07 Jun 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks Ziping Xu Zifan Xu Runxuan Jiang Peter Stone Ambuj Tewari 40 1 0 03 Mar 2024
Offline Multi-task Transfer RL with Representational Penalization Avinandan Bose S. S. Du Maryam Fazel OffRL 49 12 0 19 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 48 121 0 17 Jan 2024
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna Robert D. Nowak 31 6 0 01 Nov 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources Chengshuai Shi Wei Xiong Cong Shen Jing Yang OffRL 14 3 0 14 Jun 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 11 4 0 09 Feb 2023
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 27 3 0 27 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise Haotian Ye James Y. Zou Linjun Zhang OOD 25 21 0 20 Oct 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs Rui Lu Andrew Zhao S. Du Gao Huang OffRL 27 10 0 31 May 2022
Meta Representation Learning with Contextual Linear Bandits Leonardo Cella Karim Lounici Massimiliano Pontil 15 5 0 30 May 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 16 33 0 29 May 2022