Bandit Algorithms

Lattimore, Tor; Szepesvári, Csaba

ISBN 10: 1108486827 / ISBN 13: 9781108486828

Editore: Cambridge University Press, 2020

Riguardo questo articolo

Codice articolo I-9781108486828

Dati bibliografici

Titolo: Bandit Algorithms

Casa editrice: Cambridge University Press

Data di pubblicazione: 2020

Legatura: Rilegato

Condizione: New

Descrizione articolo

Riassunto:

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.

Informazioni sugli autori:

Tor Lattimore is a research scientist at DeepMind. His research is focused on decision making in the face of uncertainty, including bandit algorithms and reinforcement learning. Before joining DeepMind he was an assistant professor at Indiana University and a postdoctoral fellow at the University of Alberta.

Csaba Szepesvári is a Professor in the Department of Computing Science at the University of Alberta and a Principal Investigator of the Alberta Machine Intelligence Institute. He also leads the 'Foundations' team at DeepMind. He has co-authored a book on nonlinear approximate adaptive controllers and authored a book on reinforcement learning, in addition to publishing over 200 journal and conference papers. He is an action editor of the Journal of Machine Learning Research.