His research covers machine learning and AI with the topics selective learning, speedup learning, feature generation, active learning, learning in multi-agent systems, opponent modeling, game playing, anytime algorithms, resource-bounded reasoning, reasoning under uncertainty, and heuristic search [1].
Shaul Markovitch, Yaron Sella (1993). Learning of Resource Allocation Strategies for Game Playing. The proceedings of the 13th International Joint Conference on Artificial Intelligence, Chambery, France. pdf
Lev Finkelstein, Shaul Markovitch (1998). A Selective Macro-learning Algorithm and its Application to the NxN Sliding-Tile Puzzle. Journal of Artificial Intelligence Research, 8:223-263, pdf
an Israeli computer scientist, AI researcher, and faculty member in the Computer Science department, at the Technion - Israel Institute of Technology.
His research covers machine learning and AI with the topics selective learning, speedup learning, feature generation, active learning, learning in multi-agent systems, opponent modeling, game playing, anytime algorithms, resource-bounded reasoning, reasoning under uncertainty, and heuristic search [1].
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