Learning Breakout From RAM – Part 1

philoxenic

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2 Jul 2020CPOL3 min read

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In this article we will learn from the contents of the game’s RAM instead of the pixels.

Programmers with so little memory to use were accustomed to coming up with all sorts of "neat tricks" to pack as much information into the space as possible. So in this article we will be learning from RAM, and learning from a subset of the RAM.

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

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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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philoxenic

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Learning Breakout From RAM – Part 1

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