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Daniel Kudenko
Daniel Kudenko
L3S Research Center, Leibniz University Hannover, Germany
Подтвержден адрес электронной почты в домене l3s.de - Главная страница
Название
Процитировано
Процитировано
Год
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
3382003
Dynamic potential-based reward shaping
SM Devlin, D Kudenko
11th International Conference on Autonomous Agents and Multiagent Systems …, 2012
2822012
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
2712014
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
2032001
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
1912016
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
1722011
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
1622017
An empirical analysis of terminological representation systems
J Heinsohn, D Kudenko, B Nebel, HJ Profitlich
Artificial Intelligence 68 (2), 367-397, 1994
1291994
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
1162011
Multi-agent reinforcement learning for intrusion detection
A Servin, D Kudenko
European Symposium on Adaptive Agents and Multi-Agent Systems, 211-223, 2005
1112005
Plan-based reward shaping for reinforcement learning
M Grzes, D Kudenko
2008 4th International IEEE Conference Intelligent Systems 2, 10-22-10-29, 2008
1072008
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
1032014
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
1022014
Dynamic generation of dilemma-based interactive narratives
H Barber, D Kudenko
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2007
982007
Online learning of shaping rewards in reinforcement learning
M Grześ, D Kudenko
Neural networks 23 (4), 541-550, 2010
932010
Distributed response to network intrusions using multiagent reinforcement learning
K Malialis, D Kudenko
Engineering Applications of Artificial Intelligence 41, 270-284, 2015
802015
Tuning the performance of the MMAS heuristic
E Ridge, D Kudenko
International Workshop on Engineering Stochastic Local Search Algorithms, 46-60, 2007
772007
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
742015
Combining reinforcement learning with symbolic planning
M Grounds, D Kudenko
European Symposium on Adaptive Agents and Multi-Agent Systems, 75-86, 2005
732005
A critical review of interactive drama systems
M Arinbjarnar, H Barber, D Kudenko
AISB'09 Symposium: AI & Games, Edinburgh, UK, 2009
692009
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