Daniel Kudenko

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Sam DevlinMicrosoft Research CambridgeDirección de correo verificada de microsoft.com
Marek GrześSenior Lecturer, School of Computing, University of KentDirección de correo verificada de kent.ac.uk
Eduardo AlonsoProfessor of Artificial Intelligence; City, University of LondonDirección de correo verificada de city.ac.uk
Enda RidgeGoogleDirección de correo verificada de google.com
Chris KimbleDirección de correo verificada de chris-kimble.com
Ignazio CabrasNewcastle Business School, Northumbria UniversityDirección de correo verificada de northumbria.ac.uk
Paul CairnsProfessor of Human-Computer Interaction, University of YorkDirección de correo verificada de york.ac.uk
Professor Feng LiAssociate Dean for Research, Bayes Business School (Formerly Cass), City, University of LondonDirección de correo verificada de city.ac.uk
Kiran FernandesDurham University Business SchoolDirección de correo verificada de durham.ac.uk
I-HSIEN TINGProfessor, Department of Information Management, National University of Kaohsiung, TaiwanDirección de correo verificada de nuk.edu.tw
Alberto NucciarelliUniversity of TrentoDirección de correo verificada de unitn.it
Kleanthis MalialisKIOS Research and Innovation Center of Excellence, University of CyprusDirección de correo verificada de ucy.ac.cy
Radu CalinescuProfessor of Computer Science, University of YorkDirección de correo verificada de york.ac.uk
Nowe AnnGewoon hoogleraarDirección de correo verificada de vub.be
Maria ArinbjarnarPhd Student, the University of YorkDirección de correo verificada de york.ac.uk
Kyriakos EfthymiadisPatent Examiner at European Patent OfficeDirección de correo verificada de vub.be
Tim BrysVrije Universiteit Brussel; Action Research AssociatesDirección de correo verificada de ai.vub.ac.be
Hans-Jürgen ProfitlichGerman Research Center for Artificial Intelligence, DFKI, Saarland Informatics Campus, SICDirección de correo verificada de dfki.de
Peter WrightProfessor of Social Computing University of NewcastleDirección de correo verificada de ncl.ac.uk
Matthew E. TaylorProfessor, University of AlbertaDirección de correo verificada de ualberta.ca

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Daniel Kudenko

L3S Research Center, Leibniz University Hannover, Germany

Dirección de correo verificada de l3s.de - Página principal

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


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	333	2003
Dynamic potential-based reward shaping SM Devlin, D Kudenko 11th International Conference on Autonomous Agents and Multiagent Systems …, 2012	276	2012
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	267	2014
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	200	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	189	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	166	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	163	2017
An empirical analysis of terminological representation systems J Heinsohn, D Kudenko, B Nebel, HJ Profitlich Artificial Intelligence 68 (2), 367-397, 1994	130	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	114	2011
Multi-agent reinforcement learning for intrusion detection A Servin, D Kudenko European Symposium on Adaptive Agents and Multi-Agent Systems, 211-223, 2005	110	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	105	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	101	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	97	2014
Online learning of shaping rewards in reinforcement learning M Grześ, D Kudenko Neural networks 23 (4), 541-550, 2010	92	2010
Distributed response to network intrusions using multiagent reinforcement learning K Malialis, D Kudenko Engineering Applications of Artificial Intelligence 41, 270-284, 2015	78	2015
Tuning the performance of the MMAS heuristic E Ridge, D Kudenko International Workshop on Engineering Stochastic Local Search Algorithms, 46-60, 2007	76	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	73	2015
Combining reinforcement learning with symbolic planning M Grounds, D Kudenko European Symposium on Adaptive Agents and Multi-Agent Systems, 75-86, 2005	72	2005
A critical review of interactive drama systems M Arinbjarnar, H Barber, D Kudenko AISB'09 Symposium: AI & Games, Edinburgh, UK, 2009	69	2009

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