Toward high-performance, memory-efficient, and fast reinforcement learning-Lessons from decision neuroscience.
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Lee, Jee Hang https://orcid.org/0000-0002-4337-2774
Seymour, Ben https://orcid.org/0000-0003-1724-5832
Leibo, Joel Z https://orcid.org/0000-0002-3153-916X
An, Su Jin https://orcid.org/0000-0003-4232-2799
Lee, Sang Wan https://orcid.org/0000-0001-6266-9613
Abstract
Recent insights from decision neuroscience raise hope for the development of intelligent brain-inspired solutions to robot learning in real dynamic environments full of noise and unpredictability.
Description
Keywords
46 Information and Computing Sciences, 4602 Artificial Intelligence, 4611 Machine Learning, Neurosciences, Behavioral and Social Science, Mental Health, Basic Behavioral and Social Science, 1.1 Normal biological development and functioning, Neurological, Mental health
Journal Title
Sci Robot
Conference Name
Journal ISSN
2470-9476
2470-9476
2470-9476
Volume Title
4
Publisher
American Association for the Advancement of Science (AAAS)
Publisher DOI
Sponsorship
Wellcome Trust (097490/Z/11/Z)
Arthritis Research UK (21192)
Arthritis Research UK (21537)
Arthritis Research UK (21192)
Arthritis Research UK (21537)