Home Page of Sven Koenig
I am interested in intelligent systems that have to operate in large, nondeterministic, nonstationary or only partially known domains. Most of my research centers around techniques for decision making (planning and learning) that enable single situated agents (such as robots or decision-support systems) and teams of agents to act intelligently in their environments and exhibit goal-directed behavior in real-time, even if they have only incomplete knowledge of their environment, imperfect abilities to manipulate it, limited or noisy perception or insufficient reasoning speed. I believe that finding good solutions to these problems requires approaches that cut across many different fields and, consequently, my research draws on areas such as artificial intelligence, decision theory, and operations research. Applications of my research include robotics and video games as well as transportation, planetary exploration, supply-chain management and crisis management (such as oil-spill containment).
Enjoy my homepage! I hope that you will find something interesting here. For example, if you are using Markov models in your research (as I do), then you know - of course - the Bellman optimality equations, Bellman's value-iteration algorithm, the Baum-Welch algorithm, and the Viterbi algorithm - but did you know that Bellman, Welch and Viterbi were/are faculty members at USC? In fact, the computer science department is part of the Viterbi School of Engineering, which is named after Viterbi...
International Symposium on Combinatorial Search
Information on Multi-Agent Path Finding
USC Programming Contest
Important Information for Current and Future Students
Computer Science Department
University of Southern California (USC)
300 Henry Salvatori Computer Science Center (SAL)
941 Bloom Walk
Los Angeles, CA 90089-0781
(I strongly prefer email over phone messages.)
Home Page of Sven Koenig (with Menu)