Papers › Solving Atari Games Using Fractals And Entropy

Solving Atari Games Using Fractals And Entropy

3 Jul 2018arXiv:1807.01081archive 2025-07-28

Sergio Hernandez Cerezo, Guillem Duran Ballester, Spiros Baxevanakis

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.

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