演講題目： Using domain-specific knowledge for Monte Carlo Tree Search in Go

Martin Müller is a Professor and the Associate Chair (Research) in the Department of Computing Science at the University of Alberta in Edmonton, Canada. His research covers several areas of heuristic search, including game tree search, domain-independent planning, and combinatorial games. His recent main focus is on understanding exploration in heuristic search. He has worked on computer Go for thirty years, and leads the development of the open source games software framework Fuego. In 2009, Fuego was the first program to beat a top level professional in an even game on the 9x9 board. Games programs based on the Fuego framework have won many major international competitions, including the Computer Olympiad and the UEC Cup. In work in the field of AI planning, Müller’s research group has developed a series of internationally successful planning systems based on macro learning and on Monte Carlo random walks. He has numerous publications in top quality venues and major conferences in the fields of computer games, planning and general AI. He heads the computer Go and planning groups, which are part of the world class AI research group at the University of Alberta.