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Learning to play slot cars and Atari 2600 games in just minutes
Nov 03, 2017 (modified: Nov 03, 2017)ICLR 2018 Conference Blind Submissionreaders: everyoneShow Bibtex
Abstract:Machine learning algorithms for controlling devices will need to learn very quickly, with very few trials. Such a goal can be attained with concepts borrowed from continental philosophy and formalized using tools from the mathematical theory of categories. Illustrations of this approach are presented on a cyberphysical system: the slot car game, and also on Atari 2600 games.
TL;DR:Continental-philosophy-inspired approach to learn with few data.
Keywords:Artificial Intelligence, Signal processing, Philosophy, Analogy, ALE, Slot Car
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