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Offline Reinforcement Learning with On-Policy Q-Function Regularization

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Year: 2023
Type: conference-paper
Source: Lecture notes in computer science
DOI: 10.1007/978-3-031-43421-1_27
Authors: Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
Institutions: Carnegie Mellon University, Google (United States)
Language: English

Topic: Reinforcement Learning in Robotics
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Carnegie Mellon University
Awards: RINGS: Learning-Enabled Ground and Air Integrated Networks (GAINs), Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Efficient Reinforcement Learning
OpenAlex ID: W4386811819
FWCI: 0.888
Cites: 16
Cited by: 5
Related to: 10
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