Sarkozy, Gabor N
In March 2016, AlphaGo, a computer Go program developed by Google DeepMind, won a 5-game match against Lee Sedol, one of the best Go players in the world. Its victory marks a major advance in the field of computer Go. However, much remains to be done. There is a gap between the computational power AlphaGo used in the match and the computational power available to the majority of computer users today. Further, the communication between two of the techniques used by AlphaGo, neural networks and Monte Carlo Tree Search, can be improved. We investigate four different approaches towards accomplishing this end, with a focus on methods that require minimal computational power. Each method shows promise and can be developed further.
Worcester Polytechnic Institute
Major Qualifying Project
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