Taylor Matthew E. Taylor | Akateeminen Kirjakauppa

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DISTRIBUTED ARTIFICIAL INTELLIGENCE : SECOND INTERNATIONAL CONFERENCE, DAI 2020, NANJING, CHINA, OCTOBER 24–27, 2020, PROCEEDING

Matthew E. Taylor (ed.); Yang Yu (ed.); Edith Elkind (ed.); Yang Gao (ed.)
Springer (2020)
Pehmeäkantinen kirja

51,40 €

APPLYING REINFORCEMENT LEARNING ON REAL-WORLD DATA WITH PRACTICAL EXAMPLES IN PYTHON

Philip Osborne; Kajal Singh; Matthew E. Taylor
Springer (2022)
Pehmeäkantinen kirja

56,40 €

FEDERATED AND TRANSFER LEARNING

Roozbeh Razavi-Far (ed.); Boyu Wang (ed.); Matthew E. Taylor (ed.); Qiang Yang (ed.)
Springer (2022)
Kovakantinen kirja

134,60 €

APPLYING REINFORCEMENT LEARNING ON REAL-WORLD DATA WITH PRACTICAL EXAMPLES IN PYTHON

Philip Osborne; Kajal Singh; Matthew E. Taylor
Morgan & Claypool Publishers (2022)
Pehmeäkantinen kirja

59,20 €

APPLYING REINFORCEMENT LEARNING ON REAL-WORLD DATA WITH PRACTICAL EXAMPLES IN PYTHON

Osborne Philip Osborne; Singh Kajal Singh; Taylor Matthew E. Taylor
Springer Nature B.V. (2022)
Pehmeäkantinen kirja

117,50 €

FEDERATED AND TRANSFER LEARNING

Roozbeh Razavi-Far (ed.); Boyu Wang (ed.); Matthew E. Taylor (ed.); Qiang Yang (ed.)
Springer (2023)
Pehmeäkantinen kirja

134,60 €

POLITICS, LITERATURE, AND FILM IN CONVERSATION - ESSAYS IN HONOR OF MARY P. NICHOLS

Matthew D. Dinan; Natalie Taylor; Denise Schaeffer; Paul E. Kirkland
Lexington Books (2021)
Kovakantinen kirja

131,40 €

Distributed Artificial Intelligence : Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceeding

Matthew E. Taylor (ed.), Yang Yu (ed.), Edith Elkind (ed.), Yang Gao (ed.)

51,40 €

Springer
Sivumäärä: 141 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2020, 25.11.2020 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Artificial Intelligence

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020.

The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.

Due to the Corona pandemic this event was held virtually.

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