Marek Grześ

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Daniel KudenkoL3S Research Center, Leibniz University Hannover, GermanyVerified email at l3s.de
Marek KretowskiFaculty of Computer Science, Bialystok University of TechnologyVerified email at pb.edu.pl
Jesse HoeyProfessor of Computer Science, University of WaterlooVerified email at cs.uwaterloo.ca
Sam DevlinMicrosoft Research CambridgeVerified email at microsoft.com
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Howard BowmanSchool of Computing, University of Kent and School of Psychology, University of BirminghamVerified email at kent.ac.uk
Théophile ChampionUniversity of KentVerified email at kent.ac.uk
Lisa BonhemePhD student, University of KentVerified email at kent.ac.uk
Farhana Ferdousi LizaLecturer of Computing Sciences, University of East Anglia, Norwich, UKVerified email at uea.ac.uk
T.L. McCluskeyProfessor of Software Technology, University of HuddersfieldVerified email at hud.ac.uk
Mauro VallatiFull Professor, University of HuddersfieldVerified email at hud.ac.uk
Scott SannerUniversity of TorontoVerified email at mie.utoronto.ca
Mark "mak" RobertsThe US Naval Research LaboratoryVerified email at nrl.navy.mil
Lukáš ChrpaCzech Technical University in PragueVerified email at cvut.cz
Marcin CzajkowskiWydział Informatyki, Politechnika BiałostockaVerified email at pb.edu.pl
Alex MihailidisProfessor, Department of Occupational Science & Occupational Therapy, University of TorontoVerified email at utoronto.ca
Dan JacksonSenior Research Associate, Newcastle Univeristy, UKVerified email at newcastle.ac.uk
Andrew MonkEmeritus Professor University of York; Visiting Professor Newcastle UniversityVerified email at psych.york.ac.uk
Shehroz S. KhanScientist, KITE, University Health NetworkVerified email at utoronto.ca
Stephen CzarnuchAssociate Professor, Electrical and Computer Engineering/Emergency Medicine, Memorial UniversityVerified email at mun.ca

Marek Grześ

Lecturer, School of Computing, University of Kent

Verified email at kent.ac.uk - Homepage

Reinforcement Learning Artificial Intelligence Machine Learning


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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	142	2015
Reward shaping in episodic reinforcement learning M Grzes ACM, 2017	113	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	100	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	98	2008
Online learning of shaping rewards in reinforcement learning M Grześ, D Kudenko Neural Networks 23 (4), 541-550, 2010	82	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	47	2014
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	43	2009
Multigrid reinforcement learning with reward shaping M Grześ, D Kudenko Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague …, 2008	38	2008
Learning shaping rewards in model-based reinforcement learning M Grzes, D Kudenko Proc. AAMAS 2009 Workshop on Adaptive Learning Agents 115, 30, 2009	34	2009
Global learning of decision trees by an evolutionary algorithm M Krętowski, M Grześ Information Processing and Security Systems, 401-410, 2005	34	2005
Evolutionary induction of mixed decision trees M Kretowski, M Grzes Data Warehousing and Mining: Concepts, Methodologies, Tools, and …, 2008	29	2008
Global induction of oblique decision trees: an evolutionary approach M Krętowski, M Grześ Intelligent Information Processing and Web Mining: Proceedings of the …, 2005	26	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	24	2014
BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients A Casey, H Azhar, M Grzes, M Sakel Disability and Rehabilitation: Assistive Technology 16 (5), 525-537, 2021	22	2021
Isomorph-free branch and bound search for finite state controllers M Grzes, P Poupart, J Hoey	21	2013
Evolutionary learning of linear trees with embedded feature selection M Krętowski, M Grześ Artificial Intelligence and Soft Computing–ICAISC 2006: 8th International …, 2006	19	2006
Multi-agent, reward shaping for robocup keepaway S Devlin, M Grześ, D Kudenko The 10th International Conference on Autonomous Agents and Multiagent …, 2011	18	2011
Improving exploration in reinforcement learning through domain knowledge and parameter analysis M Grzes University of York, 2010	17	2010
Evolutionary induction of cost-sensitive decision trees M Krętowski, M Grześ Foundations of Intelligent Systems: 16th International Symposium, ISMIS 2006 …, 2006	17	2006
Energy efficient execution of POMDP policies M Grześ, P Poupart, X Yang, J Hoey IEEE Transactions on Cybernetics 45 (11), 2484-2497, 2014	16	2014

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