Using Deep Neural Network Based on Reinforcement Learning for Video Game Control Strategy
碩士 === 國立勤益科技大學 === 資訊工程系 === 106 === This paper proposes a game control method that uses game screens as input, improves the architecture of the roll machine neural network, initializes the parameters of the convolution kernel using principal component analysis, and stack these convolution kernels...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/kn92fw |