Multi-agent coordination : (Record no. 69394)
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000 -LEADER | |
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fixed length control field | 03183cam a22005538i 4500 |
001 - CONTROL NUMBER | |
control field | on1158507353 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220711203627.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200602s2021 nju ob 001 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781119699057 |
-- | (electronic bk. : oBook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1119699053 |
-- | (electronic bk. : oBook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781119699026 |
-- | (epub) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1119699029 |
-- | (epub) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781119698999 |
-- | (adobe pdf) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1119698995 |
-- | (adobe pdf) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
-- | (cloth) |
029 1# - (OCLC) | |
OCLC library identifier | AU@ |
System control number | 000067267634 |
082 00 - CLASSIFICATION NUMBER | |
Call Number | 006.3/1 |
100 1# - AUTHOR NAME | |
Author | Sadhu, Arup Kumar, |
245 10 - TITLE STATEMENT | |
Title | Multi-agent coordination : |
Sub Title | a reinforcement learning approach / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource |
520 ## - SUMMARY, ETC. | |
Summary, etc | "This book explores the usage of Reinforcement Learning for Multi-Agent Coordination. Chapter 1 introduces fundamentals of the multi-robot coordination. Chapter 2 offers two useful properties, which have been developed to speed-up the convergence of traditional multi-agent Q-learning (MAQL) algorithms in view of the team-goal exploration, where team-goal exploration refers to simultaneous exploration of individual goals. Chapter 3 proposes the novel consensus Q-learning (CoQL), which addresses the equilibrium selection problem. Chapter 4 introduces a new dimension in the literature of the traditional correlated Q-learning (CQL), in which correlated equilibrium (CE) is computed partly in the learning and the rest in the planning phases, thereby requiring CE computation once only. Chapter 5 proposes an alternative solution to the multi-agent planning problem using meta-heuristic optimization algorithms. Chapter 6 provides the concluding remarks based on the principles and experimental results acquired in the previous chapters. Possible future directions of research are also examined briefly at the end of the chapter."-- |
700 1# - AUTHOR 2 | |
Author 2 | Konar, Amit, |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1002/9781119699057 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Hoboken, New Jersey : |
-- | Wiley-IEEE, |
-- | [2021] |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | n |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | nc |
-- | rdacarrier |
520 ## - SUMMARY, ETC. | |
-- | Provided by publisher. |
588 ## - | |
-- | Description based on print version record and CIP data provided by publisher; resource not viewed. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Reinforcement learning. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Multiagent systems. |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Multiagent systems |
-- | (OCoLC)fst01749717 |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Reinforcement learning |
-- | (OCoLC)fst01732553 |
994 ## - | |
-- | 92 |
-- | DG1 |
No items available.