Marek Grześ 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	1453	832
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i10 指数	37	23

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Daniel KudenkoL3S Research Center, Leibniz University Hannover, Germany在 l3s.de 的电子邮件经过验证
Marek KretowskiFaculty of Computer Science, Bialystok University of Technology在 pb.edu.pl 的电子邮件经过验证
Jesse HoeyProfessor of Computer Science, University of Waterloo在 cs.uwaterloo.ca 的电子邮件经过验证
Howard BowmanSchool of Psychology, University of Birmingham在 bham.ac.uk 的电子邮件经过验证
Théophile ChampionUniversity of Kent在 student.bham.ac.uk 的电子邮件经过验证
Sam DevlinMicrosoft Research Cambridge在 microsoft.com 的电子邮件经过验证
Pascal PoupartUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Lisa BonhemePostdoctoral researcher, IARC, WHO在 iarc.who.int 的电子邮件经过验证
Fabrício GóesLecturer of Creative Computing在 leicester.ac.uk 的电子邮件经过验证
Farhana Ferdousi LizaLecturer of Computing Sciences, University of East Anglia, Norwich, UK在 uea.ac.uk 的电子邮件经过验证
T.L. McCluskeyProfessor of Software Technology, University of Huddersfield在 hud.ac.uk 的电子邮件经过验证
Mauro VallatiFull Professor, University of Huddersfield在 hud.ac.uk 的电子邮件经过验证
Scott SannerUniversity of Toronto在 mie.utoronto.ca 的电子邮件经过验证
Mark "mak" RobertsThe US Naval Research Laboratory在 nrl.navy.mil 的电子邮件经过验证
Lukáš ChrpaCzech Technical University in Prague在 cvut.cz 的电子邮件经过验证
Alex MihailidisProfessor, Department of Occupational Science & Occupational Therapy, University of Toronto在 utoronto.ca 的电子邮件经过验证
Marcin CzajkowskiWydział Informatyki, Politechnika Białostocka在 pb.edu.pl 的电子邮件经过验证
Max PeeperkornPhD Candidate, University of Kent在 kent.ac.uk 的电子邮件经过验证
Dan JacksonSenior Research Associate, Newcastle Univeristy, UK在 newcastle.ac.uk 的电子邮件经过验证
Andrew MonkEmeritus Professor University of York; Visiting Professor Newcastle University在 psych.york.ac.uk 的电子邮件经过验证

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Marek Grześ

Senior Lecturer, School of Computing, University of Kent

在 kent.ac.uk 的电子邮件经过验证 - 首页

Reinforcement Learning Artificial Intelligence Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	169	2015
Reward shaping in episodic reinforcement learning M Grzes ACM, 2017	145	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	108	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	104	2008
Online learning of shaping rewards in reinforcement learning M Grześ, D Kudenko Neural Networks 23 (4), 541-550, 2010	89	2010
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	52	2009
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	50	2014
Multigrid reinforcement learning with reward shaping M Grześ, D Kudenko International Conference on Artificial Neural Networks, 357-366, 2008	46	2008
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	38	2021
Learning shaping rewards in model-based reinforcement learning M Grzes, D Kudenko Proc. AAMAS 2009 Workshop on Adaptive Learning Agents 115, 30, 2009	35	2009
Global learning of decision trees by an evolutionary algorithm M Krętowski, M Grześ Information Processing and Security Systems, 401-410, 2005	35	2005
Evolutionary induction of mixed decision trees M Kretowski, M Grzes International Journal of Data Warehousing and Mining (IJDWM) 3 (4), 68-82, 2007	31	2007
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	27	2014
Global induction of oblique decision trees: an evolutionary approach M Krętowski, M Grześ Intelligent Information Processing and Web Mining: Proceedings of the …, 2005	25	2005
Isomorph-free branch and bound search for finite state controllers M Grzes, P Poupart, J Hoey	22	2013
Improving exploration in reinforcement learning through domain knowledge and parameter analysis M Grzes University of York, 2010	21	2010
Evolutionary induction of cost-sensitive decision trees M Krętowski, M Grześ International Symposium on Methodologies for Intelligent Systems, 121-126, 2006	20	2006
Evolutionary learning of linear trees with embedded feature selection M Krętowski, M Grześ Artificial Intelligence and Soft Computing–ICAISC 2006: 8th International …, 2006	20	2006
Decision tree approach to microarray data analysis M Grześ, M Krętowski Biocybernetics and Biomedical Engineering 27 (3), 29-42, 2007	19	2007
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

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