Michail G. Lagoudakis

Michail G. Lagoudakis, Ronald Parr: Value Function Approximation in Zero-Sum Markov Games. CoRR abs/1301.0580 (2013)

Alexandros Paraschos, Nikolaos I. Spanoudakis, Michail G. Lagoudakis: Model-driven behavior specification for robotic teams. AAMAS 2012: 171-178

Ioannis Rexakis, Michail G. Lagoudakis: Directed Policy Search Using Relevance Vector Machines. ICTAI 2012: 25-32

Ioannis E. Skoulakis, Michail G. Lagoudakis: Efficient Reinforcement Learning in Adversarial Games. ICTAI 2012: 704-711

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)

Diomidis I. Katzourakis, Ioannis Papaefstathiou, Michail G. Lagoudakis: An Open-Source Scaled Automobile Platform for Fault-Tolerant Electronic Stability Control. IEEE T. Instrumentation and Measurement 59(9): 2303-2314 (2010)

Emmanuel Rachelson, Michail G. Lagoudakis: On the locality of action domination in sequential decision making. ISAIM 2010

Michail G. Lagoudakis: RoboCup: A Challenge Problem for Artificial Intelligence. SETN 2010: 3

Stavros Korokithakis, Michail G. Lagoudakis: Heuristic Rule Induction for Decision Making in Near-Deterministic Domains. SETN 2010: 339-344

Maria Rovatsou, Michail G. Lagoudakis: Minimax Search and Reinforcement Learning for Adversarial Tetris. SETN 2010: 417-422

Michail G. Lagoudakis: Least-Squares Reinforcement Learning Methods. Encyclopedia of Machine Learning 2010: 595-600

Michail G. Lagoudakis: Value Function Approximation. Encyclopedia of Machine Learning 2010: 1011-1021

Jacky Baltes, Michail G. Lagoudakis, Tadashi Naruse, Saeed Shiry Ghidary (Eds.): 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

Jason Pazis, Michail G. Lagoudakis: Binary action search for learning continuous-action control policies. ICML 2009: 100

Georgios Pierris, Michail G. Lagoudakis: An interactive tool for designing complex robot motion patterns. ICRA 2009: 4013-4018

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. Artificial Intelligence in Medicine 42(3): 247-259 (2008)

Christos Dimitrakakis, Michail G. Lagoudakis: Rollout sampling approximate policy iteration. Machine Learning 72(3): 157-171 (2008)

Christos Dimitrakakis, Michail G. Lagoudakis: Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. EWRL 2008: 27-40

Ioannis Rexakis, Michail G. Lagoudakis: Classifier-Based Policy Representation. ICMLA 2008: 91-98

Alejandro R. Mosteo, Luis Montano, Michail G. Lagoudakis: Multi-robot routing under limited communication range. ICRA 2008: 1531-1536

Christos Dimitrakakis, Michail G. Lagoudakis: Rollout Sampling Approximate Policy Iteration. ECML/PKDD (1) 2008: 7

Souzana Volioti, Michail G. Lagoudakis: Histogram-Based Visual Object Recognition for the 2007 Four-Legged RoboCup League. SETN 2008: 313-326

Christos Dimitrakakis, Michail G. Lagoudakis: Rollout Sampling Approximate Policy Iteration. CoRR abs/0805.2027 (2008)

Georgios Kontes, Michail G. Lagoudakis: Coordinated Team Play in the Four-Legged RoboCup League. ICTAI (1) 2007: 109-116

Konstantinos Karakasiliotis, Leonidas Kagkarakis, Michail G. Lagoudakis: Chlorochlamys loop-like locomotion: Combining crawling and climbing robotics. ROBIO 2007: 978-983

Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug 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 Young, Dmitry Zelenko: Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Magazine 27(4): 92-102 (2006)

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

Michail G. Lagoudakis: Incremental Multi-Objective Motion Control of Nonholonomic Mobile Robots. IROS 2006: 2804-2809

Michail G. Lagoudakis: On Improving Mobile Robot Motion Control. SETN 2006: 551-554

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

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

Michail G. Lagoudakis, Ronald Parr: Least-Squares Policy Iteration. Journal of Machine Learning Research 4: 1107-1149 (2003)

Michail G. Lagoudakis, Ronald Parr: Reinforcement Learning as Classification: Leveraging Modern Classifiers. ICML 2003: 424-431

Michail G. Lagoudakis, Ronald Parr: Approximate Policy Iteration using Large-Margin Classifiers. IJCAI 2003: 1432-1434

Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr: Coordinated Reinforcement Learning. ICML 2002: 227-234

Michail G. Lagoudakis, Ronald Parr: Learning in Zero-Sum Team Markov Games Using Factored Value Functions. NIPS 2002: 1627-1634

Michail G. Lagoudakis, Ronald Parr, Michael L. Littman: Least-Squares Methods in Reinforcement Learning for Control. SETN 2002: 249-260

Michail G. Lagoudakis, Ronald Parr: Value Function Approximation in Zero-Sum Markov Games. UAI 2002: 283-292

Michail G. Lagoudakis, Michael L. Littman: Learning to Select Branching Rules in the DPLL Procedure for Satisfiability. Electronic Notes in Discrete Mathematics 9: 344-359 (2001)

Michail G. Lagoudakis, Ronald Parr: Model-Free Least-Squares Policy Iteration. NIPS 2001: 1547-1554

Michail G. Lagoudakis, Michael L. Littman: Reinforcement Learning for Algorithm Selection. AAAI/IAAI 2000: 1081

Michail G. Lagoudakis, Michael L. Littman: Algorithm Selection using Reinforcement Learning. ICML 2000: 511-518

Michail G. Lagoudakis, Anthony S. Maida: Robot Navigation with a Polar Neural Map. AAAI/IAAI 1999: 965

Bill Z. Manaris, Valanne MacGyvers, Michail G. Lagoudakis: Universal Access to Mobile Computing Devices through Speech Input. FLAIRS Conference 1999: 286-292

Michail G. Lagoudakis: An IDA Algorithm for Optimal Spare Allocation. SAC 1999: 486-488

Michail G. Lagoudakis: Book Review; Artificial Intelligence and Scientific Method, Donald Gillies. Journal of Intelligent and Robotic Systems 22(1): 87-95 (1998)