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ENTITY Neurosymbolic Transformers for Multi-Agent Communication

Neurosymbolic Transformers for Multi-Agent Communication

PulseAugur coverage of Neurosymbolic Transformers for Multi-Agent Communication — every cluster mentioning Neurosymbolic Transformers for Multi-Agent Communication across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_90909 ·

    New EM-NeSy approach enhances neurosymbolic AI learning

    Researchers have introduced EM-NeSy, a novel approach to neurosymbolic learning that frames the process as an instance of the Expectation-Maximization (EM) algorithm. This method allows for approximate inference without…