Learning to play slot cars and Atari 2600 games in just minutes


Nov 03, 2017 (modified: Nov 03, 2017) ICLR 2018 Conference Blind Submission readers: everyone Show 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