2 papers
cs.LG2026
HiPreNets: High-Precision Neural Networks through Progressive Training
Ethan Mulle, Wei Kang, Qi Gong
Deep neural networks are powerful tools for solving nonlinear problems in science and engineering, but training highly accurate models becomes challenging as problem complexity inc…
cs.LG2024
Decentralized Upper Confidence Bound Algorithms for Homogeneous Multi-Agent Multi-Armed Bandits
Jingxuan Zhu, Ethan Mulle, Christopher S. Smith +2
This paper studies a decentralized homogeneous multi-armed bandit problem in a multi-agent network. The problem is simultaneously solved by agents assuming they face a common s…