Provable Benefits of Representational Transfer in Reinforcement Learning

29 May 2022

Mengdi Wang

Papers citing "Provable Benefits of Representational Transfer in Reinforcement Learning"

35 / 35 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 47 1 0 01 Mar 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion Akhil Jalan Yassir Jedra Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 47 0 0 28 Feb 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks Luise Ge Michael Lanier Anindya Sarkar Bengisu Guresti Yevgeniy Vorobeychik Chongjie Zhang 42 0 0 26 Feb 2025
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong Shufan Wang Daniel Jiang Jian Li FedML 73 1 0 22 Nov 2024
The Central Role of the Loss Function in Reinforcement Learning Kaiwen Wang Nathan Kallus Wen Sun OffRL 36 7 0 19 Sep 2024
Open Problem: Active Representation Learning Nikola Milosevic Gesine Müller Jan Huisken Nico Scherf 21 1 0 06 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 36 1 0 05 Jun 2024
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning Yuwei Fu Haichao Zhang Di Wu Wei-ping Xu Benoit Boulet VLM 24 12 0 02 Jun 2024
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint Haitong Ma Zhaolin Ren Bo Dai Na Li 24 1 0 07 Apr 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes Andrew Bennett Nathan Kallus M. Oprescu Wen Sun Kaiwen Wang AAML OffRL 37 1 0 29 Mar 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks Ziping Xu Zifan Xu Runxuan Jiang Peter Stone Ambuj Tewari 30 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
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees Yifei Zhou Ayush Sekhari Yuda Song Wen Sun OffRL OnRL 17 8 0 14 Nov 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan-Chia Cheng Jing Yang Vincent Tan Yingbin Liang 19 0 0 20 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 28 1 0 16 Oct 2023
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs Yuan-Chia Cheng J. Yang Yitao Liang OOD 17 1 0 10 Aug 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 28 2 0 21 Jul 2023
Efficient Model-Free Exploration in Low-Rank MDPs Zakaria Mhammedi Adam Block Dylan J. Foster Alexander Rakhlin OffRL 9 13 0 08 Jul 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP Jiacheng Guo Zihao Li Huazheng Wang Mengdi Wang Zhuoran Yang Xuezhou Zhang 22 5 0 21 Jun 2023
On the Model-Misspecification in Reinforcement Learning Yunfan Li Lin F. Yang 23 5 0 19 Jun 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources Chengshuai Shi Wei Xiong Cong Shen Jing Yang OffRL 12 3 0 14 Jun 2023
Provable Reward-Agnostic Preference-Based Reinforcement Learning Wenhao Zhan Masatoshi Uehara Wen Sun Jason D. Lee 14 7 0 29 May 2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning Kaiwen Wang Kevin Zhou Runzhe Wu Nathan Kallus Wen Sun OffRL 13 17 0 25 May 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan-Chia Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 29 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
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi-An Ma Sergey Levine 19 14 0 24 Dec 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 21 22 0 08 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 22 9 0 02 Nov 2022
Joint Representation Training in Sequential Tasks with Shared Structure Aldo Pacchiano Ofir Nachum Nilseh Tripuraneni Peter L. Bartlett 26 5 0 24 Jun 2022
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 98 78 0 14 Feb 2021
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint Léonard Blier Corentin Tallec Yann Ollivier 46 30 0 18 Jan 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 107 166 0 06 Jan 2021
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 104 194 0 07 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017