Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Teodor Strömberg"'
Autor:
Dirk Englund, Philip Walther, Hans J. Briegel, Michael Hochberg, Sabine Wölk, Valeria Saggio, Teodor Strömberg, Nicolai Friis, Nicholas C. Harris, Vedran Dunjko, Beate E. Asenbeck, Arne Hamann, Peter Schiansky
Publikováno v:
Quantum Nanophotonic Materials, Devices, and Systems 2021.
As the field of artificial intelligence is pushed forward, the question arises of how fast autonomous machines can learn. Within artificial intelligence, an important paradigm is reinforcement learning, where agents - learning entities capable of dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b61cac23d96ed88065aa3421e99aa6d
https://doi.org/10.1117/12.2593720
https://doi.org/10.1117/12.2593720
Autor:
Michael Hochberg, Arne Hamann, Peter Schiansky, Vedran Dunjko, Dirk Englund, Sabine Wölk, Teodor Strömberg, Beate E. Asenbeck, Nicolai Friis, Nicholas C. Harris, Hans J. Briegel, Philip Walther, Valeria Saggio
Publikováno v:
Nature
Increasing demand for algorithms that can learn quickly and efficiently has led to a surge of development within the field of artificial intelligence (AI). An important paradigm within AI is reinforcement learning (RL), where agents interact with env
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13ea790cd5035420a03785ac382beea2
https://doi.org/10.1038/s41586-021-03242-7
https://doi.org/10.1038/s41586-021-03242-7
