Atari 10k challenge benchmark with bayesian models / free energy principle active inference

Mastering Atari Games with Natural Intelligence

The blog post explores the groundbreaking achievements of Genius™-powered agents in mastering Atari games, significantly surpassing the performance of leading AI models while using 90% less data. These agents, based on Bayesian Inference and Active Inference principles, demonstrated superior competency in various games with minimal training data and computational resources, emphasizing a shift towards more efficient and generalizable AI solutions. This milestone showcases the potential of neuroscience-based methodologies in advancing machine intelligence.

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