Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Contextual Bandits for Resource-Constrained Devices using Probabilistic Learning
Marco Angioli, Kevin Johansson, Antonello Rosato +2
Contextual bandits (CB) are online sequential decision-making problems under partial feedback that underpin many adaptive services. There is a growing demand to deploy CB agents di…
cs.LG2025
Efficient Hyperdimensional Computing with Modular Composite Representations
Marco Angioli, Christopher J. Kymn, Antonello Rosato +3
The modular composite representation (MCR) is a computing model that represents information with high-dimensional integer vectors using modular arithmetic. Originally proposed as a…