Non-Stationary Representation Learning in Sequential Linear Bandits

Non-Stationary Representation Learning in Sequential Linear Bandits

13 January 2022

Fabio Pasqualetti

Papers citing "Non-Stationary Representation Learning in Sequential Linear Bandits"

11 / 11 papers shown

Title
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits Thang Duong Zhi Wang Chicheng Zhang 39 0 0 23 Jan 2025
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 56 122 0 17 Jan 2024
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 19 4 0 09 Feb 2023
Stochastic Contextual Bandits with Long Horizon Rewards Yuzhen Qin Yingcong Li Fabio Pasqualetti Maryam Fazel Samet Oymak 23 3 0 02 Feb 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning Yingcong Li M. E. Ildiz Dimitris Papailiopoulos Samet Oymak 18 152 0 17 Jan 2023
Representation Learning for Context-Dependent Decision-Making Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti 32 3 0 12 May 2022
Stochastic Multi-armed Bandits with Non-stationary Rewards Generated by a Linear Dynamical System J. Gornet M. Hosseinzadeh Bruno Sinopoli 22 7 0 06 Apr 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
Provable and Efficient Continual Representation Learning Yingcong Li Mingchen Li M. Salman Asif Samet Oymak CLL 30 11 0 03 Mar 2022
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits Peter Landgren Vaibhav Srivastava Naomi Ehrich Leonard 69 68 0 03 Mar 2020