Daniel Kudenko

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Citations	4543	2160
h-index	37	26
i10-index	92	53

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Sam DevlinMicrosoft Research CambridgeVerified email at microsoft.com
Marek GrześLecturer, School of Computing, University of KentVerified email at kent.ac.uk
Enda RidgeGoogleVerified email at google.com
Chris KimbleVerified email at chris-kimble.com
Eduardo AlonsoProfessor of Artificial Intelligence; City, University of LondonVerified email at city.ac.uk
I-HSIEN TINGAssociate Professor, Department of Information Management, National University of Kaohsiung, TaiwanVerified email at nuk.edu.tw
Ignazio CabrasNewcastle Business School, Northumbria UniversityVerified email at northumbria.ac.uk
Professor Feng LiChair of Information Management, Bayes Business School (Formerly Cass), City, University of LondonVerified email at city.ac.uk
Kiran FernandesDurham University Business SchoolVerified email at durham.ac.uk
Paul CairnsProfessor of Human-Computer Interaction, University of YorkVerified email at york.ac.uk
Kleanthis MalialisKIOS Research and Innovation Center of Excellence, University of CyprusVerified email at ucy.ac.cy
Alberto NucciarelliUniversity of TrentoVerified email at unitn.it
Radu CalinescuProfessor of Computer Science, University of YorkVerified email at york.ac.uk
Nowe AnnGewoon hoogleraarVerified email at vub.be
Maria ArinbjarnarPhd Student, the University of YorkVerified email at york.ac.uk
Kyriakos EfthymiadisPostdoctoral Researcher Vrije Universiteit BrusselVerified email at vub.be
Tim BrysAction Research AssociatesVerified email at actionresearchassociates.org
Hans-Jürgen ProfitlichGerman Research Center for Artificial Intelligence, DFKI, Saarland Informatics Campus, SICVerified email at dfki.de
Bernhard NebelProfessor für Informatik, Universität FreiburgVerified email at uni-freiburg.de
Peter WrightProfessor of Social Computing University of NewcastleVerified email at ncl.ac.uk

Daniel Kudenko

L3S Research Center, Leibniz University Hannover, Germany

Verified email at l3s.de - Homepage

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


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Reinforcement learning of coordination in cooperative multi-agent systems S Kapetanakis, D Kudenko AAAI/IAAI 2002, 326-331, 2002	289	2002
Dynamic potential-based reward shaping SM Devlin, D Kudenko Proceedings of the 11th international conference on autonomous agents and …, 2012	199	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	184	2001
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	156	2014
Theoretical considerations of potential-based reward shaping for multi-agent systems S Devlin, D Kudenko The 10th international conference on autonomous agents and multiagent …, 2011	130	2011
An empirical analysis of terminological representation systems J Heinsohn, D Kudenko, B Nebel, HJ Profitlich Artificial Intelligence 68 (2), 367-397, 1994	130	1994
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	123	2017
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	99	2011
Plan-based reward shaping for reinforcement learning M Grzes, D Kudenko 2008 4th International IEEE Conference Intelligent Systems 2, 10-22-10-29, 2008	96	2008
Multi-agent reinforcement learning for intrusion detection A Servin, D Kudenko Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent …, 2008	93	2008
Dynamic generation of dilemma-based interactive narratives H Barber, D Kudenko Proceedings of the AAAI Conference on Artificial Intelligence and …, 2007	92	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	82	2014
Online learning of shaping rewards in reinforcement learning M Grześ, D Kudenko Neural networks 23 (4), 541-550, 2010	80	2010
Machine learning and inductive logic programming for multi-agent systems D Kazakov, D Kudenko⋆ Multi-Agent Systems and Applications: 9th ECCAI Advanced Course, ACAI 2001 …, 2001	69	2001
Tuning the performance of the MMAS heuristic E Ridge, D Kudenko Engineering Stochastic Local Search Algorithms. Designing, Implementing and …, 2007	68	2007
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	66	2015
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	63	2016
Generation of adaptive dilemma-based interactive narratives H Barber, D Kudenko IEEE transactions on computational intelligence and AI in games 1 (4), 309-326, 2009	63	2009
Combining reinforcement learning with symbolic planning M Grounds, D Kudenko Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent …, 2008	63	2008
Tuning an algorithm using design of experiments E Ridge, D Kudenko Experimental methods for the analysis of optimization algorithms, 265-286, 2010	62	2010

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