Maxine Perroni-Scharf — accepted AI-conference papers

2025

Neurosymbolic World Models for Sequential Decision Making

Leonardo Hernandez Cano, Maxine Perroni-Scharf, Neil Dhir, Arun Ramamurthy, Armando Solar-Lezama

ICML 2025poster

We present Structured World Modeling for Policy Optimization (SWMPO), a framework for unsupervised learning of neurosymbolic Finite State Machines (FSM) that capture environmental structure for policy optimization. Traditional unsupervised world modeling methods rely on unstructured representations,…

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2022

Soft Lattice Modules That Behave Independently and Collectively

Luyang Zhao, Yijia Wu, Julien Blanchet, Maxine Perroni-Scharf, Xiaonan Huang, Joran W. Booth +2

RA-L 2022

Natural systems integrate the work of many sub-units (cells) toward a large-scale unified goal (morphological and behavioral), which can counteract the effects of unexpected experiences, damage, or simply changes in tasks demands. In this letter, we exploit the opportunities presented by soft, modul

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