The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning

27 February 2023

Papers citing "The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning"

10 / 10 papers shown

Title
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning Yen-Ru Lai Fu-Chieh Chang Pei-Yuan Wu OffRL 96 1 0 22 Aug 2024
On the Expressivity of Markov Reward David Abel Will Dabney Anna Harutyunyan Mark K. Ho Michael L. Littman Doina Precup Satinder Singh 50 83 0 01 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 249 874 0 12 Oct 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 89 804 0 12 Jun 2021
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 91 1,780 0 08 Jun 2020
Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub Zeyu Jia Csaba Szepesvári Mengdi Wang Lin F. Yang OffRL 74 301 0 01 Jun 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 64 662 0 12 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 174 1,338 0 15 Apr 2020
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 160 135 0 09 Dec 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 62 267 0 16 Apr 2019