| 2023 | IROS | Detecting Olives with Synthetic or Real Data? Olive the Above. | Yianni Karabatis, Xiaomin Lin, Nitin J. Sanket, Michail G. Lagoudakis, Yiannis Aloimonos |
| 2014 | IROS | Predictive control for dynamic locomotion of real humanoid robots. | Stylianos Piperakis, Emmanouil Orfanoudakis, Michail G. Lagoudakis |
| 2014 | RoboCup | The Standard Platform League. | Eric Chown, Michail G. Lagoudakis |
| 2012 | AAMAS | Model-driven behavior specification for robotic teams. | Alexandros Paraschos, Nikolaos I. Spanoudakis, Michail G. Lagoudakis |
| 2012 | ICTAI | Directed Policy Search Using Relevance Vector Machines. | Ioannis Rexakis, Michail G. Lagoudakis |
| 2012 | ICTAI | Efficient Reinforcement Learning in Adversarial Games. | Ioannis E. Skoulakis, Michail G. Lagoudakis |
| 2012 | RoboCup | A CASE Tool for Robot Behavior Development. | Angeliki Topalidou-Kyniazopoulou, Nikolaos I. Spanoudakis, Michail G. Lagoudakis |
| 2010 | ISAIM | On the locality of action domination in sequential decision making. | Emmanuel Rachelson, Michail G. Lagoudakis |
| 2009 | ICML | Binary action search for learning continuous-action control policies. | Jason Pazis, Michail G. Lagoudakis |
| 2009 | ICRA | An interactive tool for designing complex robot motion patterns. | Georgios Pierris, Michail G. Lagoudakis |
| 2008 | ICMLA | Classifier-Based Policy Representation. | Ioannis Rexakis, Michail G. Lagoudakis |
| 2008 | ICRA | Multi-robot routing under limited communication range. | Alejandro R. Mosteo, Luis Montano, Michail G. Lagoudakis |
| 2007 | ICTAI | Coordinated Team Play in the Four-Legged RoboCup League. | Georgios D. Kontes, Michail G. Lagoudakis |
| 2006 | AAAI | 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 |
| 2006 | IROS | Incremental Multi-Objective Motion Control of Nonholonomic Mobile Robots. | Michail G. Lagoudakis |
| 2004 | IROS | Simple auctions with performance guarantees for multi-robot task allocation. | Michail G. Lagoudakis, Marc Berhault, Sven Koenig, Pinar Keskinocak, Anton J. Kleywegt |
| 2003 | ICML | Reinforcement Learning as Classification: Leveraging Modern Classifiers. | Michail G. Lagoudakis, Ronald Parr |
| 2003 | IJCAI | Approximate Policy Iteration using Large-Margin Classifiers. | Michail G. Lagoudakis, Ronald Parr |
| 2002 | ICML | Coordinated Reinforcement Learning. | Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr |
| 2002 | UAI | Value Function Approximation in Zero-Sum Markov Games. | Michail G. Lagoudakis, Ronald Parr |
| 2000 | AAAI | Reinforcement Learning for Algorithm Selection. | Michail G. Lagoudakis, Michael L. Littman |
| 2000 | ICML | Algorithm Selection using Reinforcement Learning. | Michail G. Lagoudakis, Michael L. Littman |
| 1999 | AAAI | Robot Navigation with a Polar Neural Map. | Michail G. Lagoudakis, Anthony S. Maida |
| 1999 | FlAIRS | Universal Access to Mobile Computing Devices through Speech Input. | Bill Z. Manaris, Valanne MacGyvers, Michail G. Lagoudakis |
| 1999 | IJCNN | Neural maps for mobile robot navigation. | Michail G. Lagoudakis, Anthony S. Maida |
| 1999 | SAC | An IDA Algorithm for Optimal Spare Allocation. | Michail G. Lagoudakis |