Abstract: In this paper we present a new methodology for robot learning that combines ideas from statistical generalization and reinforcement learning. First we apply statistical generalization to ...

Abstract: A general statistical description of the problem of learning from examples is presented. Learning in layered networks is posed as a search in the network ...

However, Boltzmann-Gibbs statistical mechanics has limitations. For example, its predictions can fail when a system is in certain regimes, such as phase transitions or critical phenomena. For instance ...

Statistical mechanics is one of the pillars of modern physics. Ludwig Boltzmann (1844-1906) and Josiah Willard Gibbs (1839-1903) were its primary formulators. They both worked to establish a bridge ...

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For instance, statistical mechanics predicts the divergence of certain thermodynamic quantities at critical points, which is not observed experimentally. This has led to the development of the ...