Improved Policy Networks for Computer Go
نویسنده
چکیده
Golois uses residual policy networks to play Go. Two improvements to these residual policy networks are proposed and tested. The first one is to use three output planes. The second one is to add Spatial Batch Normalization.
منابع مشابه
Mproved a Rchitectures for C Omputer
AlphaGo trains policy networks with both supervised and reinforcement learning and makes different policy networks play millions of games so as to train a value network. The reinforcement learning part requires massive amount of computation. We propose to train networks for computer Go so that given accuracy is reached with much less examples. We modify the architecture of the networks in order...
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