Dr. Sertan Girgin [ sertan @ google.com / sertan @ ceng.metu.edu.tr ]
I'm currently working at Google Paris office as a member of Cultural Institute. Previously, I was a post-doc researcher at Team-Project SequeL, INRIA Lille Nord-Europe conducting research on abstraction in reinforcement learning, and developing intelligent learning agents for the "Le Vendeur Virtuel Ubiquitaire" project.

Interest Areas

Reinforcement Learning, Distributed AI and Multi Agent Systems, Biologically Inspired Robotics, Evolutionary Algorithms. 

Interested in Reinforcement Learning?
Check out "Recent Advances in Reinforcement Learning" (LNAI Vol. 5323) - a collection of revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, France, during June 30 - July 3, 2008.


  • Seales W., Crossan S., Yoshitake M., Girgin S., From Assets to Stories via the Google Cultural Institute Platform, Workshop on Big Humanities, IEEE International Conference on Big Data, 2013.
  • Kuru K., Girgin S., Arda K., Bozlar U., A novel report generation approach for medical applications: The SISDS methodology and its applications. I. J. Medical Informatics 82(5), pp 435-447, 2013 .
  • Girgin S., Mary J., Preux P., Nicol O., Managing advertising campaigns - An approximate planning approach, Frontiers of Computer Science 6(2), pp 209-229, 2012 .
  • Kuru K., Girgin S., A Bilinear Interpolation Based Approach for Optimizing Hematoxylin & Eosin Stained Microscopical Images, Proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, 2011 .
  • Girgin S., Mary J., Preux P., Nicol O., Advertising Campaign Management: Should We Be Greedy?, Proceedings of the 10th IEEE International Conference on Data Mining (ICDM), 2010 (extended version is available as INRIA research report ).
  • Girgin S., Polat F., and Alhajj R., Improving Reinforcement Learning by Using Sequence Trees, Machine Learning, 2010 .
  • Celik B., Girgin S., Yazici A., Unlu K., A decision support system for assessing landfill performance, Waste Management, Volume 30, Issue 1, January 2010 .
  • Kuru K., Girgin S., Arda K., Bozlar U., Akgun V., Developing Diagnostic DSSs Based on a Novel Data Collection Methodology, Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management (KSEM), 2009 .
  • Kuru K., Girgin S., Arda K., A Novel Multilingual Report Generation System for Medical Applications, Proceedings of the 12th Conference on Artificial Intelligence in Medicine (AIME), 2009 .
  • Preux P., Girgin S., Loth M., Feature Discovery in Approximate Dynamic Programming, Proceedings of the IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2009 .
  • Girgin S., Preux P., Basis Function Construction in Reinforcement Learning using Cascade-Correlation Learning Architecture, Proceedings of the 7th International Conference on Machine Learning and Applications (ICMLA), 2008 (an earlier version also presented at ERLARS workshop at ECAI'08, ).
  • Girgin S., Preux P., Basis Expansion in Natural-Actor Critic Methods, Proceedings of the 8th European Workhop on Reinforcement Learning, 2008  .
  • Girgin S., Preux P., Feature Discovery in Reinforcement Learning using Genetic Programming, Eleventh European Conference on Genetic Programming (EuroGP), 2008, (Nominated for the best paper award) 
  • Sahin E., Girgin S., Bayindir L. and Turgut A. E., Swarm Robotics, Swarm Intelligence: Introduction and Applications (eds. Blum C. and Merkle D.), Natural Computing Series, Springer Verlag, Berlin, Germany, 2008.
  • Girgin S., Polat F., and Alhajj R., Positive Impact of State Similarity on Reinforcement Learning Performance, IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 2007.
  • Girgin S., Polat F., and Alhajj R., State Similarity Based Approach for Improving Performance in RL, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), 2007 
  • Girgin S., Polat F., and Alhajj R., Effectiveness of Considering State Similarity for Reinforcement Learning, Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2006 
  • Sahin E., Girgin S., and Ugur E., Area Measurement of large closed regions with a mobile robot, Autonomous Robots, Vol. 21, No. 3, pp 255-266, November 2006 
  • Girgin S., Polat F., and Alhajj R., Learning by Automatic Option Discovery from Conditionally Terminating Sequences, Proceedings of the 17th European Conference on Artificial Intelligence (ECAI), 2006 
  • Girgin S., and Polat F., Option Discovery in Reinforcement Learning using Frequent Common Subsequences of Actions, Proceedings of International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC), 2005 (a preliminary version is available as METU-CENG-TR-2005-05, Technical Report, 2005)
  • Sahin E., Girgin S., and Ugur E., Area Measurement of large closed regions with a mobile robot, METU-CENG-TR-2005-06, Technical Report, 2005 
  • Polat F., Cosar A., Girgin S., Tan M., Cilden E., Balci M., Gokturk E., Kapusuz E., Koc V., Yavas A., and Undeger C., Küçük Ölçekli Harekatın Modellenmesi ve Simülasyonu, USMOS'05 I. Ulusal Savunma Uygulamaları Modelleme ve Simülasyon Konferansı, 2005, Ankara, Turkey
  • Girgin S., and Sahin E., Blind area measurement with mobile robots, Proceedings of the 8th Conference on Intelligent Autonomous Systems (IAS 8), 2004, Amsterdam, The Netherlands, (Also published as Technical report CMU-RI-TR-03-42, Carnegie Mellon University, Pittsburgh, USA, October 2003.) 
  • Undeger C., Balci M., Girgin S., Koc V., Polat F., Bilir S. and Ipekkan Z., Platform Optimization and Simulation for Surviellance of Large Scale Terrains, Proceedings of Interservice/Industry Training, Simulation and Education Conference, 2002, Orlando, FL


Cross Country Skiing, Orienteering, Running, Mountain Biking, Mountaineering, Amateur Radio Operator (TA2MFB, 1999-), Amateur Seaman (2004-)