algorithmic game theory & opponent modeling | artificial intelligence | algorithms & theory | machine learning
Robert enhances methodologies in single-agent heuristic search & planning, applying search to games and idealized versions of real-world problems. He is a leading expert on bidirectional search, which can perform faster than the standard, unidirectional search. Using heuristic functions and other techniques, Robert’s algorithms reduce the amount of search required to solve a given problem.
Robert works to enhance efficiency and effectiveness in search as well as the ability of a system to automatically create its heuristic functions.