Work

Hierarchy Through Composition with Multitask LMDPs

Year: 2017

Type: conference-paper

Source: Oxford University Research Archive (ORA) (University of Oxford)

Authors: Andrew Saxe, Adam Christopher Earle, Benjamin Rosman

Institutions: Harvard University, University of the Witwatersrand, Council for Scientific and Industrial Research

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2741442067

FWCI: 1.321

Cites: 28

Cited by: 18

Related to: 10