國立虎尾科技大學 |

Distributed Artificial Intelligence = Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Distributed Artificial Intelligence/ edited by Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao.
其他題名:	Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings /
其他作者:	Gao, Yang.
面頁冊數:	IX, 141 p. 5 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Probability and Statistics in Computer Science. -
電子資源:	https://doi.org/10.1007/978-3-030-64096-5
ISBN:	9783030640965

Distributed Artificial Intelligence = Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings /
Distributed Artificial IntelligenceSecond International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings /[electronic resource] :edited by Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao. - 1st ed. 2020. - IX, 141 p. 5 illus.online resource. - Lecture Notes in Artificial Intelligence ;12547. - Lecture Notes in Artificial Intelligence ;9285.

Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning -- LAC-Nav: Collision-Free Multiagent Navigation Based on The Local ActionCells -- MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning -- D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control -- Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control -- Hybrid Independent Learning in Cooperative Markov Games -- Efficient Exploration By Novelty-Pursuit -- Context-aware Multi-Agent Coordination with Loose Couplings and Repeated Interaction -- Battery Management for Automated Warehouses via Deep Reinforcement Learning.

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.

ISBN: 9783030640965

Standard No.: 10.1007/978-3-030-64096-5doiSubjects--Topical Terms:

669886
Probability and Statistics in Computer Science.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Distributed Artificial Intelligence = Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings /
LDR:02824nam a22004095i 4500 001 1029443
003 DE-He213
005 20201125032113.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030640965 $9 978-3-030-64096-5
024 7 $a 10.1007/978-3-030-64096-5 $2 doi
035 $a 978-3-030-64096-5
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Distributed Artificial Intelligence $h [electronic resource] : $b Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings / $c edited by Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a IX, 141 p. 5 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Artificial Intelligence ; $v 12547
505 0 $a Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning -- LAC-Nav: Collision-Free Multiagent Navigation Based on The Local ActionCells -- MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning -- D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control -- Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control -- Hybrid Independent Learning in Cooperative Markov Games -- Efficient Exploration By Novelty-Pursuit -- Context-aware Multi-Agent Coordination with Loose Couplings and Repeated Interaction -- Battery Management for Automated Warehouses via Deep Reinforcement Learning.
520 $a 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.
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Computing Milieux. $3 669921
650 2 4 $a Computer Applications. $3 669785
650 2 4 $a Special Purpose and Application-Based Systems. $3 669833
650 1 4 $a Artificial Intelligence. $3 646849
650 0 $a Mathematical statistics. $3 527941
650 0 $a Computer communication systems. $3 1115394
650 0 $a Computers. $3 565115
650 0 $a Application software. $3 528147
650 0 $a Special purpose computers. $3 1204562
650 0 $a Artificial intelligence. $3 559380
700 1 $a Gao, Yang. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1117377
700 1 $a Elkind, Edith. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 815298
700 1 $a Yu, Yang. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 845414
700 1 $a Taylor, Matthew E. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 898598
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030640958
776 0 8 $i Printed edition: $z 9783030640972
830 0 $a Lecture Notes in Artificial Intelligence ; $v 9285 $3 1253845
856 4 0 $u https://doi.org/10.1007/978-3-030-64096-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)