2 papers
cs.LG2020
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models
Andrei Patrascu, Ciprian Paduraru, Paul Irofti
Stochastic optimization lies at the core of most statistical learning models. The recent great development of stochastic algorithmic tools focused significantly onto proximal gradi…
cs.AI2019
Automatic difficulty management and testing in games using a framework based on behavior trees and genetic algorithms
Ciprian Paduraru, Miruna Paduraru
The diversity of agent behaviors is an important topic for the quality of video games and virtual environments in general. Offering the most compelling experience for users with di…