Toward high-performance, memory-efficient, and fast reinforcement learning-Lessons from decision neuroscience

Cited 7 time in webofscience Cited 7 time in scopus
  • Hit : 644
  • Download : 0
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.
Publisher
AMER ASSOC ADVANCEMENT SCIENCE
Issue Date
2019-01
Language
English
Article Type
Editorial Material
Citation

SCIENCE ROBOTICS, v.4, no.26

ISSN
2470-9476
DOI
10.1126/scirobotics.aav2975
URI
http://hdl.handle.net/10203/250381
Appears in Collection
BiS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 7 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0