Daniel Kudenko 个人学术档案

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	总计	2019 年至今
引用	5408	2515
h 指数	40	27
i10 指数	100	55

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Sam DevlinMicrosoft Research Cambridge在 microsoft.com 的电子邮件经过验证
Marek GrześSenior Lecturer, School of Computing, University of Kent在 kent.ac.uk 的电子邮件经过验证
Eduardo AlonsoProfessor of Artificial Intelligence; City, University of London在 city.ac.uk 的电子邮件经过验证
Chris Kimble在 chris-kimble.com 的电子邮件经过验证
Enda RidgeGoogle在 google.com 的电子邮件经过验证
Ignazio CabrasNewcastle Business School, Northumbria University在 northumbria.ac.uk 的电子邮件经过验证
Paul CairnsProfessor of Human-Computer Interaction, University of York在 york.ac.uk 的电子邮件经过验证
Professor Feng LiAssociate Dean for Research, Bayes Business School (Formerly Cass), City, University of London在 city.ac.uk 的电子邮件经过验证
Kiran FernandesDurham University Business School在 durham.ac.uk 的电子邮件经过验证
I-HSIEN TINGProfessor, Department of Information Management, National University of Kaohsiung, Taiwan在 nuk.edu.tw 的电子邮件经过验证
Alberto NucciarelliUniversity of Trento在 unitn.it 的电子邮件经过验证
Kleanthis MalialisKIOS Research and Innovation Center of Excellence, University of Cyprus在 ucy.ac.cy 的电子邮件经过验证
Radu CalinescuProfessor of Computer Science, University of York在 york.ac.uk 的电子邮件经过验证
Nowe AnnGewoon hoogleraar在 vub.be 的电子邮件经过验证
Maria ArinbjarnarPhd Student, the University of York在 york.ac.uk 的电子邮件经过验证
Kyriakos EfthymiadisPatent Examiner at European Patent Office在 vub.be 的电子邮件经过验证
Tim BrysVrije Universiteit Brussel; Action Research Associates在 ai.vub.ac.be 的电子邮件经过验证
Hans-Jürgen ProfitlichGerman Research Center for Artificial Intelligence, DFKI, Saarland Informatics Campus, SIC在 dfki.de 的电子邮件经过验证
Peter WrightProfessor of Social Computing University of Newcastle在 ncl.ac.uk 的电子邮件经过验证
Matthew E. TaylorAssociate Professor, University of Alberta在 ualberta.ca 的电子邮件经过验证

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Daniel Kudenko

L3S Research Center, Leibniz University Hannover, Germany

在 l3s.de 的电子邮件经过验证 - 首页

Artificial Intelligence Machine Learning Reinforcement Learning Mult-Agent Systems Interactive Drama


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Reinforcement learning of coordination in heterogeneous cooperative multi-agent systems S Kapetanakis, D Kudenko Symposium on Adaptive Agents and Multi-agent Systems, 119-131, 2003	326	2003
Potential-based difference rewards for multiagent reinforcement learning S Devlin, L Yliniemi, D Kudenko, K Tumer Proceedings of the 2014 international conference on Autonomous agents and …, 2014	260	2014
Dynamic potential-based reward shaping SM Devlin, D Kudenko 11th International Conference on Autonomous Agents and Multiagent Systems …, 2012	260	2012
Learning in multi-agent systems E Alonso, M d'Inverno, D Kudenko, M Luck, J Noble The Knowledge Engineering Review 16 (3), 277-284, 2001	197	2001
Potential-based reward shaping for finite horizon online POMDP planning A Eck, LK Soh, S Devlin, D Kudenko Autonomous Agents and Multi-Agent Systems 30, 403-445, 2016	180	2016
Theoretical considerations of potential-based reward shaping for multi-agent systems S Devlin, D Kudenko Tenth International Conference on Autonomous Agents and Multi-Agent Systems …, 2011	157	2011
From value chains to technological platforms: The effects of crowdfunding in the digital game industry A Nucciarelli, F Li, KJ Fernandes, N Goumagias, I Cabras, S Devlin, ... Journal of Business Research 78, 341-352, 2017	152	2017
An empirical analysis of terminological representation systems J Heinsohn, D Kudenko, B Nebel, HJ Profitlich Artificial Intelligence 68 (2), 367-397, 1994	129	1994
An empirical study of potential-based reward shaping and advice in complex, multi-agent systems S Devlin, D Kudenko, M Grześ Advances in Complex Systems 14 (02), 251-278, 2011	108	2011
Multi-agent reinforcement learning for intrusion detection A Servin, D Kudenko European Symposium on Adaptive Agents and Multi-Agent Systems, 211-223, 2005	108	2005
Plan-based reward shaping for reinforcement learning M Grzes, D Kudenko 2008 4th International IEEE Conference Intelligent Systems 2, 10-22-10-29, 2008	104	2008
Game intelligence S Devlin, PI Cowling, D Kudenko, N Goumagias, A Nucciareli, I Cabras, ... 2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014	98	2014
Dynamic generation of dilemma-based interactive narratives H Barber, D Kudenko Proceedings of the AAAI Conference on Artificial Intelligence and …, 2007	98	2007
Multi-objectivization of reinforcement learning problems by reward shaping T Brys, A Harutyunyan, P Vrancx, ME Taylor, D Kudenko, A Nowé 2014 international joint conference on neural networks (IJCNN), 2315-2322, 2014	94	2014
Online learning of shaping rewards in reinforcement learning M Grześ, D Kudenko Neural networks 23 (4), 541-550, 2010	89	2010
Tuning the performance of the MMAS heuristic E Ridge, D Kudenko International Workshop on Engineering Stochastic Local Search Algorithms, 46-60, 2007	73	2007
Distributed response to network intrusions using multiagent reinforcement learning K Malialis, D Kudenko Engineering Applications of Artificial Intelligence 41, 270-284, 2015	72	2015
Predicting player disengagement and first purchase with event-frequency based data representation H Xie, S Devlin, D Kudenko, P Cowling 2015 IEEE conference on computational intelligence and games (CIG), 230-237, 2015	71	2015
Combining reinforcement learning with symbolic planning M Grounds, D Kudenko European Symposium on Adaptive Agents and Multi-Agent Systems, 75-86, 2005	69	2005
Machine learning and inductive logic programming for multi-agent systems D Kazakov, D Kudenko⋆ ECCAI Advanced Course on Artificial Intelligence, 246-270, 2001	69	2001

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