Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Dan Horgan"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d298c946101431edcf15241ecf98a28
https://doi.org/10.1038/s41586-019-1724-z
https://doi.org/10.1038/s41586-019-1724-z
Autor:
Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Leibo, Audrunas Gruslys
Deep reinforcement learning (RL) has achieved several high profile successes in difficult decision-making problems. However, these algorithms typically require a huge amount of data before they reach reasonable performance. In fact, their performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2603999dd3fc6b0bb5f7dadefd67bf1
http://arxiv.org/abs/1704.03732
http://arxiv.org/abs/1704.03732
