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ORCIDMichail G. Lagoudakis
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2020 – today
- 2023
[c44]Yianni Karabatis, Xiaomin Lin, Nitin J. Sanket, Michail G. Lagoudakis, Yiannis Aloimonos:
Detecting Olives with Synthetic or Real Data? Olive the Above. IROS 2023: 4242-4249- [i4]Yianni Karabatis, Xiaomin Lin, Nitin J. Sanket, Michail G. Lagoudakis, Yiannis Aloimonos:
Detecting Olives with Synthetic or Real Data? Olive the Above. CoRR abs/2308.08271 (2023) - 2020
- [j12]Vassilios Diakoloukas
, Fotios Lygerakis, Michail G. Lagoudakis, Margarita Kotti:
Variational Denoising Autoencoders and Least-Squares Policy Iteration for Statistical Dialogue Managers. IEEE Signal Process. Lett. 27: 960-964 (2020)
2010 – 2019
- 2017
- [r4]Michail G. Lagoudakis:
Least-Squares Reinforcement Learning Methods. Encyclopedia of Machine Learning and Data Mining 2017: 738-744 - [r3]Michail G. Lagoudakis:
Value Function Approximation. Encyclopedia of Machine Learning and Data Mining 2017: 1311-1323 - 2015
- [j11]Nikolaos Kofinas, Emmanouil Orfanoudakis, Michail G. Lagoudakis:
Complete Analytical Forward and Inverse Kinematics for the NAO Humanoid Robot. J. Intell. Robotic Syst. 77(2): 251-264 (2015) - 2014
- [j10]Ioannis Rexakis, Michail G. Lagoudakis:
Directed Policy Search for Decision Making Using Relevance Vector Machines. Int. J. Artif. Intell. Tools 23(4) (2014) - [c43]Georgios L. Papadimitriou, Nikolaos I. Spanoudakis, Michail G. Lagoudakis:
Extending the Kouretes Statechart Editor for Generic Agent Behavior Development. AIAI 2014: 182-192 - [c42]Stylianos Piperakis, Emmanouil Orfanoudakis, Michail G. Lagoudakis:
Predictive control for dynamic locomotion of real humanoid robots. IROS 2014: 4036-4043 - [c41]Eric Chown, Michail G. Lagoudakis:
The Standard Platform League. RoboCup 2014: 636-648 - 2013
- [i3]Michail G. Lagoudakis, Ronald Parr:
Value Function Approximation in Zero-Sum Markov Games. CoRR abs/1301.0580 (2013) - 2012
- [c40]Alexandros Paraschos, Nikolaos I. Spanoudakis, Michail G. Lagoudakis:
Model-driven behavior specification for robotic teams. AAMAS 2012: 171-178 - [c39]Ioannis Rexakis, Michail G. Lagoudakis:
Directed Policy Search Using Relevance Vector Machines. ICTAI 2012: 25-32 - [c38]Ioannis E. Skoulakis, Michail G. Lagoudakis:
Efficient Reinforcement Learning in Adversarial Games. ICTAI 2012: 704-711 - [c37]Angeliki Topalidou-Kyniazopoulou, Nikolaos I. Spanoudakis, Michail G. Lagoudakis:
A CASE Tool for Robot Behavior Development. RoboCup 2012: 225-236 - 2011
- [c36]Jason Pazis, Michail G. Lagoudakis:
Reinforcement learning in multidimensional continuous action spaces. ADPRL 2011: 97-104 - [c35]Ioannis Rexakis, Michail G. Lagoudakis:
Directed exploration of policy space using support vector classifiers. ADPRL 2011: 112-119 - 2010
- [j9]Vasileios Vasilikos, Michail G. Lagoudakis:
Optimization of heuristic search using recursive algorithm selection and reinforcement learning. Ann. Math. Artif. Intell. 60(1-2): 119-151 (2010) - [j8]Diomidis I. Katzourakis, Ioannis Papaefstathiou, Michail G. Lagoudakis:
An Open-Source Scaled Automobile Platform for Fault-Tolerant Electronic Stability Control. IEEE Trans. Instrum. Meas. 59(9): 2303-2314 (2010) - [c34]Emmanuel Rachelson, Michail G. Lagoudakis:
On the locality of action domination in sequential decision making. ISAIM 2010 - [c33]Michail G. Lagoudakis:
RoboCup: A Challenge Problem for Artificial Intelligence. SETN 2010: 3 - [c32]Stavros Korokithakis, Michail G. Lagoudakis:
Heuristic Rule Induction for Decision Making in Near-Deterministic Domains. SETN 2010: 339-344 - [c31]Maria Rovatsou, Michail G. Lagoudakis:
Minimax Search and Reinforcement Learning for Adversarial Tetris. SETN 2010: 417-422 - [e1]Jacky Baltes, Michail G. Lagoudakis, Tadashi Naruse, Saeed Shiry Ghidary:
RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29 - July 5, 2009]. Lecture Notes in Computer Science 5949, Springer 2010, ISBN 978-3-642-11875-3 [contents] - [r2]Michail G. Lagoudakis:
Least-Squares Reinforcement Learning Methods. Encyclopedia of Machine Learning 2010: 595-600 - [r1]Michail G. Lagoudakis:
Value Function Approximation. Encyclopedia of Machine Learning 2010: 1011-1021
2000 – 2009
- 2009
- [c30]Jason Pazis, Michail G. Lagoudakis:
Learning continuous-action control policies. ADPRL 2009: 169-176 - [c29]Jason Pazis, Michail G. Lagoudakis:
Binary action search for learning continuous-action control policies. ICML 2009: 793-800 - [c28]Georgios Pierris, Michail G. Lagoudakis:
An interactive tool for designing complex robot motion patterns. ICRA 2009: 4013-4018 - 2008
- [j7]Adrienne Chu, Hongshik Ahn, Bhawna Halwan, Bruce Kalmin, Everson L. A. Artifon, Alan Barkun, Michail G. Lagoudakis, Atul Kumar:
A decision support system to facilitate management of patients with acute gastrointestinal bleeding. Artif. Intell. Medicine 42(3): 247-259 (2008) - [j6]Christos Dimitrakakis, Michail G. Lagoudakis:
Rollout sampling approximate policy iteration. Mach. Learn. 72(3): 157-171 (2008) - [c27]Alejandro R. Mosteo, Luis Montano, Michail G. Lagoudakis:
Guaranteed-Performance Multi-robot Routing under Limited Communication Range. DARS 2008: 491-502 - [c26]Christos Dimitrakakis, Michail G. Lagoudakis:
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. EWRL 2008: 27-40 - [c25]Ioannis Rexakis, Michail G. Lagoudakis:
Classifier-Based Policy Representation. ICMLA 2008: 91-98 - [c24]Alejandro R. Mosteo, Luis Montano, Michail G. Lagoudakis:
Multi-robot routing under limited communication range. ICRA 2008: 1531-1536 - [c23]Christos Dimitrakakis, Michail G. Lagoudakis:
Rollout Sampling Approximate Policy Iteration. ECML/PKDD (1) 2008: 7 - [c22]Souzana Volioti, Michail G. Lagoudakis:
Histogram-Based Visual Object Recognition for the 2007 Four-Legged RoboCup League. SETN 2008: 313-326 - [i2]Christos Dimitrakakis, Michail G. Lagoudakis:
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. CoRR abs/0805.2015 (2008) - [i1]Christos Dimitrakakis, Michail G. Lagoudakis:
Rollout Sampling Approximate Policy Iteration. CoRR abs/0805.2027 (2008) - 2007
- [c21]Georgios Kontes, Michail G. Lagoudakis:
Coordinated Team Play in the Four-Legged RoboCup League. ICTAI (1) 2007: 109-116 - [c20]Konstantinos Karakasiliotis, Leonidas Kagkarakis, Michail G. Lagoudakis:
Chlorochlamys loop-like locomotion: Combining crawling and climbing robotics. ROBIO 2007: 978-983 - 2006
- [j5]Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko:
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27(4): 92-102 (2006) - [c19]Sven Koenig, Craig A. Tovey, Michail G. Lagoudakis, Evangelos Markakis, David Kempe, Pinar Keskinocak, Anton J. Kleywegt, Adam Meyerson, Sonal Jain:
The Power of Sequential Single-Item Auctions for Agent Coordination. AAAI 2006: 1625-1629 - [c18]Michail G. Lagoudakis:
Incremental Multi-Objective Motion Control of Nonholonomic Mobile Robots. IROS 2006: 2804-2809 - [c17]Michail G. Lagoudakis:
On Improving Mobile Robot Motion Control. SETN 2006: 551-554 - 2005
- [c16]Michail G. Lagoudakis, Evangelos Markakis, David Kempe, Pinar Keskinocak, Anton J. Kleywegt, Sven Koenig, Craig A. Tovey, Adam Meyerson, Sonal Jain:
Auction-Based Multi-Robot Routing. Robotics: Science and Systems 2005: 343-350 - 2004
- [c15]Michail G. Lagoudakis, Marc Berhault, Sven Koenig, Pinar Keskinocak, Anton J. Kleywegt:
Simple auctions with performance guarantees for multi-robot task allocation. IROS 2004: 698-705 - 2003
- [j4]Michail G. Lagoudakis, Ronald Parr:
Least-Squares Policy Iteration. J. Mach. Learn. Res. 4: 1107-1149 (2003) - [c14]Michail G. Lagoudakis, Ronald Parr:
Reinforcement Learning as Classification: Leveraging Modern Classifiers. ICML 2003: 424-431 - [c13]Michail G. Lagoudakis, Ronald Parr:
Approximate Policy Iteration using Large-Margin Classifiers. IJCAI 2003: 1432-1434 - 2002
- [j3]Bill Z. Manaris, Valanne MacGyvers, Michail G. Lagoudakis:
A Listening Keyboard for Users with Motor Impairments - A Usability Study. Int. J. Speech Technol. 5(4): 371-388 (2002) - [c12]Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr:
Coordinated Reinforcement Learning. ICML 2002: 227-234 - [c11]Michail G. Lagoudakis, Ronald Parr:
Learning in Zero-Sum Team Markov Games Using Factored Value Functions. NIPS 2002: 1627-1634 - [c10]Michail G. Lagoudakis, Ronald Parr, Michael L. Littman:
Least-Squares Methods in Reinforcement Learning for Control. SETN 2002: 249-260 - [c9]Michail G. Lagoudakis, Ronald Parr:
Value Function Approximation in Zero-Sum Markov Games. UAI 2002: 283-292 - 2001
- [j2]Michail G. Lagoudakis, Michael L. Littman:
Learning to Select Branching Rules in the DPLL Procedure for Satisfiability. Electron. Notes Discret. Math. 9: 344-359 (2001) - [c8]Michail G. Lagoudakis, Ronald Parr:
Model-Free Least-Squares Policy Iteration. NIPS 2001: 1547-1554 - 2000
- [c7]Michail G. Lagoudakis, Michael L. Littman:
Reinforcement Learning for Algorithm Selection. AAAI/IAAI 2000: 1081 - [c6]Michail G. Lagoudakis, Michael L. Littman:
Algorithm Selection using Reinforcement Learning. ICML 2000: 511-518
1990 – 1999
- 1999
- [c5]Michail G. Lagoudakis, Anthony S. Maida:
Robot Navigation with a Polar Neural Map. AAAI/IAAI 1999: 965 - [c4]Michail G. Lagoudakis, Thomas H. LaBean:
2D DNA self-assembly for satisfiability. DNA Based Computers 1999: 141-154 - [c3]Bill Z. Manaris, Valanne MacGyvers, Michail G. Lagoudakis:
Universal Access to Mobile Computing Devices through Speech Input. FLAIRS 1999: 286-292 - [c2]Michail G. Lagoudakis, Anthony S. Maida:
Neural maps for mobile robot navigation. IJCNN 1999: 2011-2016 - [c1]Michail G. Lagoudakis:
An IDA Algorithm for Optimal Spare Allocation. SAC 1999: 486-488 - 1998
- [j1]Michail G. Lagoudakis:
Book Review; Artificial Intelligence and Scientific Method, Donald Gillies. J. Intell. Robotic Syst. 22(1): 87-95 (1998)
Coauthor Index
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