Michail G. Lagoudakis

According to our database, Michail G. Lagoudakis authored at least 59 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2023

Detecting Olives with Synthetic or Real Data? Olive the Above.

Yianni Karabatis, Xiaomin Lin, Nitin J. Sanket, Michail G. Lagoudakis, Yiannis Aloimonos

IROS, 2023

2020

Variational Denoising Autoencoders and Least-Squares Policy Iteration for Statistical Dialogue Managers.

Vassilios Diakoloukas, Fotios Lygerakis, Michail G. Lagoudakis, Margarita Kotti

IEEE Signal Process. Lett., 2020

2017

Value Function Approximation.

Michail G. Lagoudakis

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Least-Squares Reinforcement Learning Methods.

Michail G. Lagoudakis

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2015

Complete Analytical Forward and Inverse Kinematics for the NAO Humanoid Robot.

Nikolaos Kofinas, Emmanouil Orfanoudakis, Michail G. Lagoudakis

J. Intell. Robotic Syst., 2015

2014

Directed Policy Search for Decision Making Using Relevance Vector Machines.

Ioannis Rexakis, Michail G. Lagoudakis

Int. J. Artif. Intell. Tools, 2014

The Standard Platform League.

Eric Chown, Michail G. Lagoudakis

Proceedings of the RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, 2014

Predictive control for dynamic locomotion of real humanoid robots.

Stylianos Piperakis, Emmanouil Orfanoudakis, Michail G. Lagoudakis

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Extending the Kouretes Statechart Editor for Generic Agent Behavior Development.

Georgios L. Papadimitriou, Nikolaos I. Spanoudakis, Michail G. Lagoudakis

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2012

A CASE Tool for Robot Behavior Development.

Angeliki Topalidou-Kyniazopoulou, Nikolaos I. Spanoudakis, Michail G. Lagoudakis

Proceedings of the RoboCup 2012: Robot Soccer World Cup XVI [papers from the 16th Annual RoboCup International Symposium, 2012

Efficient Reinforcement Learning in Adversarial Games.

Ioannis E. Skoulakis, Michail G. Lagoudakis

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Directed Policy Search Using Relevance Vector Machines.

Ioannis Rexakis, Michail G. Lagoudakis

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Model-driven behavior specification for robotic teams.

Alexandros Paraschos, Nikolaos I. Spanoudakis, Michail G. Lagoudakis

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Directed exploration of policy space using support vector classifiers.

Ioannis Rexakis, Michail G. Lagoudakis

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Reinforcement learning in multidimensional continuous action spaces.

Jason Pazis, Michail G. Lagoudakis

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010

Value Function Approximation.

Michail G. Lagoudakis

Proceedings of the Encyclopedia of Machine Learning, 2010

Least-Squares Reinforcement Learning Methods.

Michail G. Lagoudakis

Proceedings of the Encyclopedia of Machine Learning, 2010

An Open-Source Scaled Automobile Platform for Fault-Tolerant Electronic Stability Control.

Diomidis I. Katzourakis, Ioannis Papaefstathiou, Michail G. Lagoudakis

IEEE Trans. Instrum. Meas., 2010

Optimization of heuristic search using recursive algorithm selection and reinforcement learning.

Vasileios Vasilikos, Michail G. Lagoudakis

Ann. Math. Artif. Intell., 2010

Minimax Search and Reinforcement Learning for Adversarial Tetris.

Maria Rovatsou, Michail G. Lagoudakis

Proceedings of the Artificial Intelligence: Theories, 2010

RoboCup: A Challenge Problem for Artificial Intelligence.

Michail G. Lagoudakis

Proceedings of the Artificial Intelligence: Theories, 2010

Heuristic Rule Induction for Decision Making in Near-Deterministic Domains.

Stavros Korokithakis, Michail G. Lagoudakis

Proceedings of the Artificial Intelligence: Theories, 2010

On the locality of action domination in sequential decision making.

Emmanuel Rachelson, Michail G. Lagoudakis

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2010

2009

An interactive tool for designing complex robot motion patterns.

Georgios Pierris, Michail G. Lagoudakis

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Binary action search for learning continuous-action control policies.

Jason Pazis, Michail G. Lagoudakis

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning continuous-action control policies.

Jason Pazis, Michail G. Lagoudakis

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008

Rollout sampling approximate policy iteration.

Christos Dimitrakakis, Michail G. Lagoudakis

Mach. Learn., 2008

A decision support system to facilitate management of patients with acute gastrointestinal bleeding.

Adrienne Chu, Hongshik Ahn, Bhawna Halwan, Bruce Kalmin, Everson L. A. Artifon, Alan Barkun, Michail G. Lagoudakis, Atul Kumar

Artif. Intell. Medicine, 2008

Histogram-Based Visual Object Recognition for the 2007 Four-Legged RoboCup League.

Souzana Volioti, Michail G. Lagoudakis

Proceedings of the Artificial Intelligence: Theories, 2008

Multi-robot routing under limited communication range.

Alejandro R. Mosteo, Luis Montano, Michail G. Lagoudakis

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Classifier-Based Policy Representation.

Ioannis Rexakis, Michail G. Lagoudakis

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration.

Christos Dimitrakakis, Michail G. Lagoudakis

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Guaranteed-Performance Multi-robot Routing under Limited Communication Range.

Alejandro R. Mosteo, Luis Montano, Michail G. Lagoudakis

Proceedings of the Distributed Autonomous Robotic Systems 8, 2008

2007

Chlorochlamys loop-like locomotion: Combining crawling and climbing robotics.

Konstantinos Karakasiliotis, Leonidas Kagkarakis, Michail G. Lagoudakis

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

Coordinated Team Play in the Four-Legged RoboCup League.

Georgios Kontes, Michail G. Lagoudakis

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2006

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.

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

AI Mag., 2006

On Improving Mobile Robot Motion Control.

Michail G. Lagoudakis

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Incremental Multi-Objective Motion Control of Nonholonomic Mobile Robots.

Michail G. Lagoudakis

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

The Power of Sequential Single-Item Auctions for Agent Coordination.

Sven Koenig, Craig A. Tovey, Michail G. Lagoudakis, Evangelos Markakis, David Kempe, Pinar Keskinocak, Anton J. Kleywegt, Adam Meyerson, Sonal Jain

Proceedings of the Proceedings, 2006

2005

Auction-Based Multi-Robot Routing.

Michail G. Lagoudakis, Evangelos Markakis, David Kempe, Pinar Keskinocak, Anton J. Kleywegt, Sven Koenig, Craig A. Tovey, Adam Meyerson, Sonal Jain

Proceedings of the Robotics: Science and Systems I, 2005

2004

Simple auctions with performance guarantees for multi-robot task allocation.

Michail G. Lagoudakis, Marc Berhault, Sven Koenig, Pinar Keskinocak, Anton J. Kleywegt

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

2003

Least-Squares Policy Iteration.

Michail G. Lagoudakis, Ronald Parr

J. Mach. Learn. Res., 2003

Approximate Policy Iteration using Large-Margin Classifiers.

Michail G. Lagoudakis, Ronald Parr

Proceedings of the IJCAI-03, 2003

Reinforcement Learning as Classification: Leveraging Modern Classifiers.

Michail G. Lagoudakis, Ronald Parr

Proceedings of the Machine Learning, 2003

2002

A Listening Keyboard for Users with Motor Impairments - A Usability Study.

Bill Z. Manaris, Valanne MacGyvers, Michail G. Lagoudakis

Int. J. Speech Technol., 2002

Value Function Approximation in Zero-Sum Markov Games.

Michail G. Lagoudakis, Ronald Parr

Proceedings of the UAI '02, 2002

Least-Squares Methods in Reinforcement Learning for Control.

Michail G. Lagoudakis, Ronald Parr, Michael L. Littman

Proceedings of the Methods and Applications of Artificial Intelligence, 2002

Learning in Zero-Sum Team Markov Games Using Factored Value Functions.

Michail G. Lagoudakis, Ronald Parr

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Coordinated Reinforcement Learning.

Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr

Proceedings of the Machine Learning, 2002

2001

Learning to Select Branching Rules in the DPLL Procedure for Satisfiability.

Michail G. Lagoudakis, Michael L. Littman

Electron. Notes Discret. Math., 2001

Model-Free Least-Squares Policy Iteration.

Michail G. Lagoudakis, Ronald Parr

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Algorithm Selection using Reinforcement Learning.

Michail G. Lagoudakis, Michael L. Littman

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Reinforcement Learning for Algorithm Selection.

Michail G. Lagoudakis, Michael L. Littman

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

An IDA Algorithm for Optimal Spare Allocation.

Michail G. Lagoudakis

Proceedings of the 1999 ACM Symposium on Applied Computing, 1999

Neural maps for mobile robot navigation.

Michail G. Lagoudakis, Anthony S. Maida

Proceedings of the International Joint Conference Neural Networks, 1999

Universal Access to Mobile Computing Devices through Speech Input.

Bill Z. Manaris, Valanne MacGyvers, Michail G. Lagoudakis

Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

2D DNA self-assembly for satisfiability.

Michail G. Lagoudakis, Thomas H. LaBean

Proceedings of the DNA Based Computers, 1999

Robot Navigation with a Polar Neural Map.

Michail G. Lagoudakis, Anthony S. Maida

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Book Review; Artificial Intelligence and Scientific Method, Donald Gillies.

Michail G. Lagoudakis

J. Intell. Robotic Syst., 1998