Work

Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning

Year: 1999

Type: article

Source: Artificial Intelligence

DOI: 10.1016/s0004-3702(99)00052-1

Authors: Richard S. Sutton, Doina Precup, Satinder Singh

Institutions: AT&T (United States), University of Massachusetts Amherst

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, Air Force Office of Scientific Research

Awards: G177218894, Exploiting Structure in Reinforcement Learning Problems, Multiple Time Scale Reinforcement Learning

OpenAlex ID: W2109910161

FWCI: 21.77

Cites: 75

Cited by: 3,363

Related to: 10