Daniel Kudenko
Cited by
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Reinforcement learning of coordination in cooperative multi-agent systems
S Kapetanakis, D Kudenko
AAAI/IAAI 2002, 326-331, 2002
Dynamic potential-based reward shaping
SM Devlin, D Kudenko
Proceedings of the 11th international conference on autonomous agents and …, 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
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
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
An empirical analysis of terminological representation systems
J Heinsohn, D Kudenko, B Nebel, HJ Profitlich
Artificial Intelligence 68 (2), 367-397, 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
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
Plan-based reward shaping for reinforcement learning
M Grzes, D Kudenko
2008 4th International IEEE Conference Intelligent Systems 2, 10-22-10-29, 2008
Multi-agent reinforcement learning for intrusion detection
A Servin, D Kudenko
Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent …, 2008
Dynamic generation of dilemma-based interactive narratives
H Barber, D Kudenko
Proceedings of the AAAI Conference on Artificial Intelligence and …, 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
Online learning of shaping rewards in reinforcement learning
M Grześ, D Kudenko
Neural networks 23 (4), 541-550, 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
Tuning the performance of the MMAS heuristic
E Ridge, D Kudenko
Engineering Stochastic Local Search Algorithms. Designing, Implementing and …, 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
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
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
Combining reinforcement learning with symbolic planning
M Grounds, D Kudenko
Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent …, 2008
Tuning an algorithm using design of experiments
E Ridge, D Kudenko
Experimental methods for the analysis of optimization algorithms, 265-286, 2010
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