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Learning Breakout From RAM – Part 2

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3 Jul 2020CPOL2 min read 5.7K   2  
In this article, we will see how we can improve by approaching the RAM in a slightly different way.
Here we will look at: Learning From individual bits, looking at code which provides a custom observation wrapper, which uses NumPy’s unpackbits function to explode the incoming observation of 128 bytes into an observation of 1024 bytes.

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This article is part of the series 'Deep Reinforcement Learning and Game Optimization View All

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


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