2 papers
cs.MA2026
Evaluating Large Language Models for Decision-Making in Agent-Based Urban Mobility Simulations
Bruno Cascaes Alves, Míriam Blank Born, Ulisses Gilioli Francescatto Júnior +3
Urban mobility modeling faces challenges in representing decision-making in dynamic environments. Although Multi-Agent Systems are widely used, rule-based approaches rely on fixed…
cs.LG2020
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Shubham Rai, Walter Lau Neto, Yukio Miyasaka +37
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is c…