Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Noah Zarr"'
Autor:
Noah Zarr, Joshua W. Brown
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Despite great strides in both machine learning and neuroscience, we do not know how the human brain solves problems in the general sense. We approach this question by drawing on the framework of engineering control theory. We demonstrate a c
Externí odkaz:
https://doaj.org/article/5cf44c7e1bfd400cbe7560e841b50106
Publikováno v:
Computational Brain & Behavior. 3:472-493
The question of how animals and humans can solve arbitrary goal-driven problems remains open. Reinforcement learning (RL) methods have approached goal-directed control problems through model-based algorithms. However, RL focus on maximizing long-term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cccf17b8ee1b10910c692ac9d3cccea
https://doi.org/10.1007/s42113-020-00095-7
https://doi.org/10.1007/s42113-020-00095-7
Autor:
Joshua W. Brown, Noah Zarr
Despite great strides in both machine learning and neuroscience, we do not know how the human brain solves problems in the general sense. We approach this question by drawing on the framework of engineering control theory. We demonstrate a computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::664b44ad3995d3a45960884759f270e6
Autor:
Joshua W. Brown, Noah Zarr
The question of how animals and humans can solve arbitrary problems and achieve arbitrary goals remains open. Model-based and model-free reinforcement learning methods have addressed these problems, but they generally lack the ability to flexibly rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80d92418475f3bea116202cf77e879cc
https://doi.org/10.1101/779306
https://doi.org/10.1101/779306
Autor:
Noah Zarr, Joshua W. Brown
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09365f1b89d77cc45a1ef5a7284d8779
https://doi.org/10.32470/ccn.2019.1070-0
https://doi.org/10.32470/ccn.2019.1070-0
Publikováno v:
Frontiers in Psychology, Vol 5 (2014)
FRONTIERS IN PSYCHOLOGY
Frontiers in Psychology
FRONTIERS IN PSYCHOLOGY
Frontiers in Psychology
Humans are known to discount future rewards hyperbolically in time. Nevertheless, a formal recursive model of hyperbolic discounting has been elusive until recently, with the introduction of the hyperbolically discounted temporal difference (HDTD) mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7904568bae474a06d11c47b6a9e3ba95
http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00178/full
http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00178/full