Ugur Kuter

My research interests are on almost all aspects of Artificial Intelligence, most particularly in Automated Planning and Learning, Reasoning under Uncertainty and Time, Social Decision Making, Semantic Web Services, and Web-Based Social Networks.

NEWS: Our planning algorithm RFF (short for Robust-FF) has won the Fully-Observable Probabilistic Planning track of the Sixth International Planning Competition, Uncertainty Track (IPC-6).

Our team that developed RFF (and its sister planning system called Forward Stochastic Planner (FSP)) consisted of Guillaume Infantes, Florent Teichteil-Konigsbuch, and myself. Here is brief summary of RFF and a picture of the award certificate that it has won in the competition. We are going to provide a detailed description of the planner and make its source code available soon. Please check back in for this!

Here is a link to my publications. My current research projects include the following:

Planning for Learning Hierarchical Task Networks	DARPA - Transfer Learning Program
Generalized Integrated Learning Architecture (GILA)	DARPA - Integrated Learning Program
Plan Order Induction by Reasoning from One Trial (POIROT)	DARPA - Integrated Learning Program

Recent events that I was involved in:

• ICAPS-08 International Probabilistic Planning Competition (IPPC 2008) -- a.k.a., International Planning Competition (IPC-6), Uncertainty Track.
• AAAI-08 AI Video Competition organized by David. W. Aha and Sebastian Thrun
• Workshop on Artificial Intelligence Planning and Learning in conjunction with ICAPS-07
• MIND Lab. Seminar Series: Reasoning and Planning under Uncertainty

Finally, some personal links. Here are some photos of me and my wife, Ferla.
My digital photography and astronomy samples.