On the Power of Multitask Representation Learning in Linear MDP

On the Power of Multitask Representation Learning in Linear MDP

15 June 2021

Rui Lu

Gao Huang

Papers citing "On the Power of Multitask Representation Learning in Linear MDP"

9 / 9 papers shown

Title
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 48 122 0 17 Jan 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan-Chia Cheng Jing Yang Vincent Tan Yingbin Liang 24 0 0 20 Oct 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan-Chia Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 37 8 0 20 Mar 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 11 4 0 09 Feb 2023
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 33 23 0 01 Dec 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
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 30 16 0 29 Mar 2022
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection Matteo Papini Andrea Tirinzoni Aldo Pacchiano Marcello Restelli A. Lazaric Matteo Pirotta 8 18 0 27 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPs Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 48 125 0 09 Oct 2021