Near-optimal Representation Learning for Linear Bandits and Linear RL

8 February 2021

Papers citing "Near-optimal Representation Learning for Linear Bandits and Linear RL"

20 / 20 papers shown

Title
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits Thang Duong Zhi Wang Chicheng Zhang 46 0 0 23 Jan 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 64 4 0 08 Jan 2025
Task Diversity Shortens the ICL Plateau Jaeyeon Kim Sehyun Kwon Joo Young Choi Jongho Park Jaewoong Cho Jason D. Lee Ernest K. Ryu MoMe 41 2 0 07 Oct 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 75 1 0 18 May 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints Jiabin Lin Shana Moothedath 48 1 0 21 Jan 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 59 125 0 17 Jan 2024
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan Cheng Jing Yang Vincent Tan Yingbin Liang 30 0 0 20 Oct 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning Jiawei Huang Niao He OffRL 32 1 0 10 Feb 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 27 4 0 09 Feb 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation Thanh Nguyen-Tang Ming Yin Sunil R. Gupta Svetha Venkatesh R. Arora OffRL 58 16 0 23 Nov 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 37 6 0 19 Oct 2022
Tractable Optimality in Episodic Latent MABs Jeongyeol Kwon Yonathan Efroni Constantine Caramanis Shie Mannor 55 3 0 05 Oct 2022
Reward-Mixing MDPs with a Few Latent Contexts are Learnable Jeongyeol Kwon Yonathan Efroni Constantine Caramanis Shie Mannor 31 5 0 05 Oct 2022
Meta Representation Learning with Contextual Linear Bandits Leonardo Cella Karim Lounici Massimiliano Pontil 59 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 25 33 0 29 May 2022
Representation Learning for Context-Dependent Decision-Making Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti 40 3 0 12 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 43 16 0 29 Mar 2022
Non-Stationary Representation Learning in Sequential Linear Bandits Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti OffRL 42 17 0 13 Jan 2022
Joint Learning of Linear Time-Invariant Dynamical Systems Aditya Modi Mohamad Kazem Shirani Faradonbeh Ambuj Tewari George Michailidis 35 17 0 21 Dec 2021
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 40 49 0 03 Jul 2021