| 000 | 03390nam a22004335i 4500 | ||
|---|---|---|---|
| 999 |
_c368158 _d368158 _x1 |
||
| 001 | 368158 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102121713.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220111s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030946623 | ||
| 024 | 7 |
_a10.1007/978-3-030-94662-3 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ337 _b2022 EB |
|
| 245 | 0 | 0 |
_aDistributed Artificial Intelligence : _bThird International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings _cedited by Jie Chen, Jérôme Lang, Christopher Amato, Dengji Zhao |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2022 |
|
| 300 |
_a1 recurso en línea (VIII, 247 páginas) _b84 ilustraciones, 52 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aLecture Notes in Artificial Intelligence _v13170 |
|
| 505 | 0 | _aThe Power of Signaling and its Intrinsic Connection to the Price of Anarchy -- Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning -- SEIHAI: A Sample-effcient Hierarchical AI for the MineRL Competition -- GC: Multi-Agent Group Belief with Graph Clustering -- Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics -- Securities Based Decision Markets -- MARL for Traffc Signal Control in Scenarios with Different Intersection Importance -- Safe Distributional Reinforcement Learning -- The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design -- Behavioral Stable Marriage Problems -- FUN-Agent: a HUMAINE Competitor -- Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning -- A Description of the Jadescript Type System -- Combining M-MCTS and Deep Reinforcement Learning for General Game Playing -- A Two-Step Method for Dynamics of Abstract Argumentation. | |
| 520 | _aThis book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021. The 15 full papers presented in this book were carefully reviewed and selected from 31 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. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _9666577 _aInteligencia artificial distribuida _vCongresos |
|
| 700 | 1 |
_aChen, Jie _eeditor literario |
|
| 700 | 1 |
_aLang, Jérôme _eeditor literario |
|
| 700 | 1 |
_aAmato, Christopher _eeditor literario |
|
| 700 | 1 |
_aZhao, Dengji _eeditor literario |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-94662-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
||
| 998 |
_b03/2022 _dz _eu _zSI |
||