Michail G. Lagoudakis

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Citations	4442	1471
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Co-authors

Ronald ParrProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
Sven KoenigProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Pinar KeskinocakProfessor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Craig ToveyProfessor of Operations Research, Georgia TechVerified email at gatech.edu
Adam MeyersonGoogle, Inc.Verified email at google.com
Nikolaos I. SpanoudakisResearcher - Teaching Staff, Technical University of CreteVerified email at science.tuc.gr
Christos DimitrakakisProfessor, University of OsloVerified email at a3.epfl.ch
Luis MontanoFull Professor of System Engineering and Automatic Control at University of Zaragoza (Spain)Verified email at unizar.es
Carlos GuestrinAmazon Professor of Machine Learning, University of WashingtonVerified email at cs.washington.edu
Evangelos MarkakisAthens University of Economics and BusinessVerified email at aueb.gr
Thomas H. LaBeanProfessor, Materials Science & Engineering, North Carolina State UniversityVerified email at ncsu.edu
Alejandro R. MosteoCentro Universitario de la Defensa de ZaragozaVerified email at unizar.es
Alexandros ParaschosVolkswagen AGVerified email at argmax.ai
Ioannis RexakisPhd student at Technical University of CreteVerified email at intelligence.tuc.gr
Bill ManarisProfessor of Computer Science, College of CharlestonVerified email at cofc.edu
Georgios Pierris, PhDQuantitative Researcher/Developer, eTrading, ING BankVerified email at ing.com
Anthony S. MaidaSchool of Computing and Informatics, UL LafayetteVerified email at louisiana.edu
Georgios KontesFraunhofer IISVerified email at iis.fraunhofer.de
Diomidis KatzourakisWaymoVerified email at google.com
Ioannis PapaefstathiouAssociate Professor, School of ECE, Aristotle University of ThessalonikiVerified email at ece.auth.gr

Michail G. Lagoudakis

Associate Professor, School of ECE, Technical University of Crete, Greece

Verified email at intelligence.tuc.gr - Homepage

Machine Learning Robotics Artificial Intelligence


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Least-squares policy iteration MG Lagoudakis, R Parr The Journal of Machine Learning Research 4, 1107-1149, 2003	1400	2003
Coordinated reinforcement learning C Guestrin, M Lagoudakis, R Parr International Conference on Machine Learning 2002 2, 227-234, 2002	405	2002
Auction-Based Multi-Robot Routing. MG Lagoudakis, E Markakis, D Kempe, P Keskinocak, AJ Kleywegt, ... Robotics: Science and Systems 5, 343-350, 2005	343	2005
Reinforcement learning as classification: Leveraging modern classifiers MG Lagoudakis, R Parr Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003	192	2003
Simple auctions with performance guarantees for multi-robot task allocation MG Lagoudakis, M Berhault, S Koenig, P Keskinocak, AJ Kleywegt 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004	190	2004
Algorithm Selection using Reinforcement Learning. MG Lagoudakis, ML Littman ICML, 511-518, 2000	168	2000
The generation of bidding rules for auction-based robot coordination C Tovey, MG Lagoudakis, S Jain, S Koenig Multi-Robot Systems. From Swarms to Intelligent Automata Volume III, 3-14, 2005	142	2005
The power of sequential single-item auctions for agent coordination S Koenig, C Tovey, M Lagoudakis, V Markakis, D Kempe, P Keskinocak, ... AAAI, 1625-1629, 2006	132	2006
2D DNA self-assembly for satisfiability. MG Lagoudakis, TH LaBean DNA Based Computers, 141-154, 1999	116	1999
Model-free least-squares policy iteration MG Lagoudakis, R Parr NIPS 14, 345, 2001	103	2001
Learning to select branching rules in the DPLL procedure for satisfiability MG Lagoudakis, ML Littman Electronic Notes in Discrete Mathematics 9, 344-359, 2001	94	2001
Least-squares methods in reinforcement learning for control MG Lagoudakis, R Parr, ML Littman Hellenic conference on artificial intelligence, 249-260, 2002	88	2002
Multi-robot routing under limited communication range AR Mosteo, L Montano, MG Lagoudakis 2008 IEEE International Conference on Robotics and Automation, 1531-1536, 2008	83	2008
Rollout sampling approximate policy iteration C Dimitrakakis, MG Lagoudakis Machine Learning 72 (3), 157-171, 2008	80*	2008
A decision support system to facilitate management of patients with acute gastrointestinal bleeding A Chu, H Ahn, B Halwan, B Kalmin, ELA Artifon, A Barkun, ... Artificial intelligence in medicine 42 (3), 247-259, 2008	79	2008
Complete Analytical Inverse Kinematics for NAO N Kofinas, E Orfanoudakis, MG Lagoudakis Autonomous Robot Systems (Robotica), 2013 13th International Conference on, 1-6, 2013	77	2013
Complete analytical forward and inverse kinematics for the NAO humanoid robot N Kofinas, E Orfanoudakis, MG Lagoudakis Journal of Intelligent & Robotic Systems 77 (2), 251-264, 2015	60	2015
Value function approximation in zero-sum markov games M Lagoudakis, R Parr arXiv preprint arXiv:1301.0580, 2012	60	2012
Selecting the right algorithm MG Lagoudakis, ML Littman, R Parr Proceedings of the 2001 AAAI Fall Symposium Series: Using Uncertainty within …, 2001	45	2001
Binary action search for learning continuous-action control policies J Pazis, MG Lagoudakis Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	41	2009

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