Daniel Kudenko

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Citations	4078	1937
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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 AlonsoReader in Computing, City University LondonVerified email at city.ac.uk
I-HSIEN TINGAssociate Professor, Department of Information Management, National University of Kaohsiung, TaiwanVerified email at nuk.edu.tw
Dimitar KazakovAssoc. Prof. (Senior Lecturer), Dept. of Computer Science, University of York, York, UKVerified email at cs.york.ac.uk
Paul CairnsProfessor of Human-Computer Interaction, University of YorkVerified email at york.ac.uk
Ignazio CabrasNewcastle Business School, Northumbria UniversityVerified email at northumbria.ac.uk
Feng LiBayes Business School (Formerly Cass), City, University of LondonVerified email at city.ac.uk
Kiran FernandesDurham University Business SchoolVerified email at durham.ac.uk
Kleanthis MalialisKIOS Research and Innovation Center of Excellence, University of CyprusVerified email at ucy.ac.cy
Nowe AnnGewoon hoogleraarVerified email at vub.be
Alberto NucciarelliUniversity of TrentoVerified email at unitn.it
Maria ArinbjarnarPhd Student, the University of YorkVerified email at york.ac.uk
Radu CalinescuProfessor of Computer Science, 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

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 heterogeneous cooperative multi-agent systems S Kapetanakis, D Kudenko Adaptive Agents and Multi-Agent Systems II, 119-131, 2004	309	2004
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	180	2001
Dynamic potential-based reward shaping SM Devlin, D Kudenko Proceedings of the 11th international conference on autonomous agents and …, 2012	170	2012
An empirical analysis of terminological representation systems J Heinsohn, D Kudenko, B Nebel, HJ Profitlich Artificial Intelligence 68 (2), 367-397, 1994	125	1994
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	117	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	105	2017
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	105	2014
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	91	2011
Dynamic generation of dilemma-based interactive narratives H Barber, D Kudenko Proceedings of the AAAI Conference on Artificial Intelligence and …, 2007	91	2007
Plan-based reward shaping for reinforcement learning M Grzes, D Kudenko 2008 4th International IEEE Conference Intelligent Systems 2, 10-22-10-29, 2008	82	2008
Multi-agent reinforcement learning for intrusion detection A Servin, D Kudenko Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent …, 2005	82	2005
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	75	2014
Online learning of shaping rewards in reinforcement learning M Grześ, D Kudenko Neural networks 23 (4), 541-550, 2010	70	2010
Tuning the performance of the MMAS heuristic E Ridge, D Kudenko International Workshop on Engineering Stochastic Local Search Algorithms, 46-60, 2007	67	2007
Machine learning and inductive logic programming for multi-agent systems D Kazakov ECCAI Advanced Course on Artificial Intelligence, 246-270, 2001	65	2001
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	61	2015
Feature generation for sequence categorization D Kudenko, H Hirsh AAAI/IAAI, 733-738, 1998	60	1998
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	58	2009
Tuning an algorithm using design of experiments E Ridge, D Kudenko Experimental methods for the analysis of optimization algorithms, 265-286, 2010	57	2010
Generation of dilemma-based interactive narratives with a changeable story goal H Barber, D Kudenko Proceedings of the 2nd international conference on INtelligent TEchnologies …, 2008	55	2008

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