Solving Atari Games Using Fractals And Entropy

In this paper, we introduce a novel MCTS based approach that is derived from the laws of the thermodynamics. The algorithm coined Fractal Monte Carlo (FMC), allows us to create an agent that takes intelligent actions in both continuous and discrete environments while providing control over every asp...

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Bibliographic Details
Main Authors Cerezo, Sergio Hernandez, Ballester, Guillem Duran, Baxevanakis, Spiros
Format Journal Article
LanguageEnglish
Published 03.07.2018
Subjects
Computer Science - Artificial Intelligence
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Summary:In this paper, we introduce a novel MCTS based approach that is derived from the laws of the thermodynamics. The algorithm coined Fractal Monte Carlo (FMC), allows us to create an agent that takes intelligent actions in both continuous and discrete environments while providing control over every aspect of the agent behavior. Results show that FMC is several orders of magnitude more efficient than similar techniques, such as MCTS, in the Atari games tested.
DOI:10.48550/arxiv.1807.01081