Zobrazeno 1 - 8
of 8
pro vyhledávání: '"John P. Agapiou"'
Autor:
Joel Z. Leibo, Alexander Sasha Vezhnevets, Maria K. Eckstein, John P. Agapiou, Edgar A. Duéñez-Guzmán
Publikováno v:
Behavioral and Brain Sciences. 45
Humans are learning agents that acquire social group representations from experience. Here, we discuss how to construct artificial agents capable of this feat. One approach, based on deep reinforcement learning, allows the necessary representations t
Autor:
Joel Z. Leibo, Raphael Köster, Alexander Sasha Vezhnevets, Edgar A. Duénez-Guzmán, John P. Agapiou, Peter Sunehag
Publikováno v:
Behavioral and Brain Sciences. 45
What inductive biases must be incorporated into multi-agent artificial intelligence models to get them to capture high-fidelity imitation? We think very little is needed. In the right environments, both instrumental- and ritual-stance imitation can e
Autor:
Tom Schaul, David Silver, James Molloy, Junhyuk Oh, Katrina McKinney, Oriol Vinyals, David H. Choi, Junyoung Chung, Tobias Pohlen, Dani Yogatama, Tobias Pfaff, Demis Hassabis, Michael Mathieu, Dan Horgan, Ivo Danihelka, Igor Babuschkin, Dario Wünsch, Tom Le Paine, Yury Sulsky, Wojciech Marian Czarnecki, Rémi Leblond, Ziyu Wang, Andrew Dudzik, Trevor Cai, Chris Apps, Yuhuai Wu, David Budden, Valentin Dalibard, Timo Ewalds, Oliver Smith, John P. Agapiou, Aja Huang, Roman Ring, Petko Georgiev, Max Jaderberg, Koray Kavukcuoglu, Alexander Vezhnevets, Caglar Gulcehre, Manuel Kroiss, Laurent Sifre, Richard E. Powell, Timothy P. Lillicrap
Publikováno v:
Nature. 575:350-354
Many real-world applications require artificial agents to compete and coordinate with other agents in complex environments. As a stepping stone to this goal, the domain of StarCraft has emerged as an important challenge for artificial intelligence re
Autor:
Eugene Vinitsky, Raphael Köster, John P Agapiou, Edgar A Duéñez-Guzmán, Alexander S Vezhnevets, Joel Z Leibo
Society is characterized by the presence of a variety of social norms: collective patterns of sanctioning that can prevent miscoordination and free-riding. Inspired by this, we aim to construct learning dynamics where potentially beneficial social no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcf592d4376483426ef7d23696294713
Autor:
Malcolm Reynolds, Tim Harley, Ivo Danihelka, Alex Graves, Agnieszka Grabska-Barwinska, Phil Blunsom, Georg Ostrovski, Koray Kavukcuoglu, John P. Agapiou, Adrià Puigdomènech Badia, Sergio Gomez Colmenarejo, Edward Grefenstette, Christopher Summerfield, Tiago Ramalho, Karl Moritz Hermann, Demis Hassabis, Adam Cain, Greg Wayne, Helen King, Yori Zwols
Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning, but are limited in their ability to represent variables and data structures and to store data over long timescales, owing to the lack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43ee1528007a7b334f9f7eea76ae2192
https://doi.org/10.1038/nature20101
https://doi.org/10.1038/nature20101
Publikováno v:
The Journal of Neuroscience. 29:14127-14135
A key function of the auditory system is to provide reliable information about the location of sound sources. Here, we describe how sound location is represented by synaptic input arriving onto pyramidal cells within auditory cortex by combining free
Autor:
David McAlpine, John P. Agapiou
Publikováno v:
Journal of Neurophysiology
Neurons in the auditory midbrain are sensitive to differences in the timing of sounds at the two ears—an important sound localization cue. We used broadband noise stimuli to investigate the interaural-delay sensitivity of low-frequency neurons in t
Autor:
John P. Agapiou
Publikováno v:
Journal of Neurophysiology; Oct2008, Vol. 100 Issue 4, p2381-2396, 16p