5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Dynamically meeting performance objectives for multiple services on a service mesh
Forough Shahab Samani, Rolf Stadler
We present a framework that lets a service provider achieve end-to-end management objectives under varying load. Dynamic control actions are performed by a reinforcement learning (…
cs.LG2022★ 5 cited
Learning Security Strategies through Game Play and Optimal Stopping
Kim Hammar, Rolf Stadler
We study automated intrusion prevention using reinforcement learning. Following a novel approach, we formulate the interaction between an attacker and a defender as an optimal stop…
cs.LG2020
Online feature selection for rapid, low-overhead learning in networked systems
Xiaoxuan Wang, Forough Shahab Samani, Rolf Stadler
Data-driven functions for operation and management often require measurements collected through monitoring for model training and prediction. The number of data sources can be very…