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Directing Policy Search with Interactively Taught Via-Points

Year: 2016

Type: conference-paper

Source: Adaptive Agents and Multi-Agents Systems

DOI: 10.65109/umoy2342

Authors: Yannick Schroecker, Heni Ben Amor, Andrea Thomaz

Institutions: Georgia Institute of Technology, Arizona State University, The University of Texas at Austin

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7124207244

FWCI:

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