Marek Grześ
Marek Grześ
Lecturer, School of Computing, University of Kent
Verified email at - Homepage
Cited by
Cited by
The 2014 international planning competition: Progress and trends
M Vallati, L Chrpa, M Grześ, TL McCluskey, M Roberts, S Sanner
Ai Magazine 36 (3), 90-98, 2015
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
Reward shaping in episodic reinforcement learning
M Grzes
ACM, 2017
Online learning of shaping rewards in reinforcement learning
M Grześ, D Kudenko
Neural Networks 23 (4), 541-550, 2010
Multi-test decision tree and its application to microarray data classification
M Czajkowski, M Grześ, M Kretowski
Artificial intelligence in medicine 61 (1), 35-44, 2014
Global learning of decision trees by an evolutionary algorithm
M Krętowski, M Grześ
Information Processing and Security Systems, 401-410, 2005
Multigrid reinforcement learning with reward shaping
M Grześ, D Kudenko
International Conference on Artificial Neural Networks, 357-366, 2008
Learning shaping rewards in model-based reinforcement learning
M Grzes, D Kudenko
Proc. AAMAS 2009 Workshop on Adaptive Learning Agents 115, 30, 2009
Evolutionary induction of mixed decision trees
M Kretowski, M Grzes
Data Warehousing and Mining: Concepts, Methodologies, Tools, and …, 2008
Lifted neural networks
A Askari, G Negiar, R Sambharya, LE Ghaoui
arXiv preprint arXiv:1805.01532, 2018
Theoretical and empirical analysis of reward shaping in reinforcement learning
M Grzes, D Kudenko
2009 International Conference on Machine Learning and Applications, 337-344, 2009
Global induction of oblique decision trees: an evolutionary approach
M Krętowski, M Grześ
Intelligent Information Processing and Web Mining, 309-318, 2005
Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model
M Grześ, J Hoey, SS Khan, A Mihailidis, S Czarnuch, D Jackson, A Monk
International Journal of Approximate Reasoning 55 (1), 36-58, 2014
Isomorph-free branch and bound search for finite state controllers
M Grzes, P Poupart, J Hoey
Multi-agent, reward shaping for robocup keepaway
S Devlin, M Grześ, D Kudenko
The 10th International Conference on Autonomous Agents and Multiagent …, 2011
Evolutionary learning of linear trees with embedded feature selection
M Krętowski, M Grześ
International Conference on Artificial Intelligence and Soft Computing, 400-409, 2006
Efficient planning in R-MAX
M Grzes, J Hoey
Proc. of AAMAS, 2011
Decision tree approach to microarray data analysis
M Grześ, M Krętowski
Biocybernetics and Biomedical Engineering 27 (3), 29-42, 2007
Evolutionary induction of cost-sensitive decision trees
M Krętowski, M Grześ
International Symposium on Methodologies for Intelligent Systems, 121-126, 2006
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