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20222026
most citedAdvancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks

4 citations · 4 across the 5 of their papers we have counts for

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cs.AI2026

Categorical Internalisation of Environmental Groupoids for Generalisable POMDP Solving

Ben Opperman, Eduardo Alonso, Esther Mondragón

This paper advocates category theory as a practical framework for structuring and improving rein- forcement learning in high-dimensional, partially observable environments. We mode…

cs.LG2026

Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries

Ben Opperman, Eduardo Alonso, Esther Mondragón

Symmetries play a central role in reducing the complexity of reinforcement learning problems, yet most existing approaches rely on fixed group actions or predefined state abstracti…