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Sebastian Risi

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#machine learning Preprint Oct 2026

Continual Reinforcement Learning with Neuroevolution

Despite many studies about causes and remedies of plasticity loss in Reinforcement Learning (RL) under continual task changes, no RL method has yet consistently achieved a good balance between adaptation and forgetting. Here we turn to an alternative optimization paradigm, neuroevolution (NE): algorithms that search di...

Eleni Nisioti, Andrea Cossu, Kathrin Korte et al. · 0 citations
#machine learning Preprint Sep 2026

On Growth and Form, and Function: Reusable Regulatory Handles Control Phenotypic Variation

How phenotypic transformations are implemented by changes in underlying regulatory dynamics remains a central question in developmental biology. Inspired by D'Arcy Thompson's 1917"On Growth and Form", we ask whether coherent large-scale transformations of morphology can be encoded as low-dimensional modulations of a se...

Benedikt Hartl, Milton L. Montero, Marcello Barylli et al. · 0 citations

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