gameplay learning
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AI Learns to Play ‘The House of the Dead’
Read Full Article: AI Learns to Play ‘The House of the Dead’
A neural-network-based AI was developed to autonomously play the classic arcade game "The House of the Dead" by learning from recorded gameplay. A Python script captured the frames and mouse movements during gameplay, which were then stored in a CSV file for training purposes. To efficiently process the large volume of frames, a convolutional neural network (CNN) was employed. The CNN applied convolutional operations to the frames, which were then fed into a feedforward neural network, enabling the AI to mimic and eventually play the game independently. This matters because it demonstrates the potential of neural networks to learn and replicate complex tasks through observation and data analysis.
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