Impact of Representation Learning in Linear Bandits

13 October 2020

Papers citing "Impact of Representation Learning in Linear Bandits"

21 / 21 papers shown

Title
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits Thang Duong Zhi Wang Chicheng Zhang 41 0 0 23 Jan 2025
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 72 2 0 07 Jun 2024
Meta Learning in Bandits within Shared Affine Subspaces Steven Bilaj Sofien Dhouib S. Maghsudi 39 2 0 31 Mar 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Yi Xu Weiran Shen Xiao Zhang Jun Xu OffRL 36 0 0 24 Mar 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints Jiabin Lin Shana Moothedath 45 1 0 21 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 56 122 0 17 Jan 2024
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan-Chia Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 41 8 0 20 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 21 4 0 09 Feb 2023
Distributed Linear Bandits under Communication Constraints Sudeep Salgia Qing Zhao 29 7 0 04 Nov 2022
Reward Imputation with Sketching for Contextual Batched Bandits Xiao Zhang Ninglu Shao Zihua Si Jun Xu Wen Wang Hanjing Su Jirong Wen OffRL 17 1 0 13 Oct 2022
Meta Representation Learning with Contextual Linear Bandits Leonardo Cella Karim Lounici Massimiliano Pontil 34 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 21 33 0 29 May 2022
Representation Learning for Context-Dependent Decision-Making Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti 32 3 0 12 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 35 16 0 29 Mar 2022
Linear Stochastic Bandits over a Bit-Constrained Channel A. Mitra Hamed Hassani George J. Pappas 34 8 0 02 Mar 2022
Non-Stationary Representation Learning in Sequential Linear Bandits Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti OffRL 32 17 0 13 Jan 2022
Bayesian decision-making under misspecified priors with applications to meta-learning Max Simchowitz Christopher Tosh A. Krishnamurthy Daniel J. Hsu Thodoris Lykouris Miroslav Dudík Robert Schapire 17 49 0 03 Jul 2021
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 24 28 0 15 Jun 2021
Incentivizing Exploration in Linear Bandits under Information Gap Huazheng Wang Haifeng Xu Chuanhao Li Zhiyuan Liu Hongning Wang 75 4 0 08 Apr 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019