244 citations · 616 across the 48 of their papers we have counts for
57 papers
From Prior-Guided Heuristics to Deployable Agents: Accelerating Demonstration-Driven Reinforcement Learning for Deadline-Constrained Network Control
Vincenzo Norman Vitale, Mohammad Solki, Antonia Maria Tulino +2
Timely delivery of delay-sensitive information over dynamic, heterogeneous networks is essential for NextG interactive applications, yet providing strict End-to-End (E2E) peak late…
A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications
Ozan Aygün, Vincenzo Norman Vitale, Antonia M. Tulino +3
Next-generation networks aim to provide performance guarantees to real-time interactive services that require timely and cost-efficient packet delivery. In this context, the goal i…
Resilient and Reliable Cloud Network Control for Mission-Critical Latency-Sensitive Service Chains
Chin-Wei Huang, Jaime Llorca, Antonia M. Tulino +1
The proliferation of mission-critical latency-sensitive services has intensified the demand for next-generation cloud-integrated networks to guarantee both reliable and resilient s…
A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
Vincenzo Norman Vitale, Antonia Maria Tulino, Andreas F. Molisch +1
Timely delivery of delay-sensitive information over dynamic, heterogeneous networks is increasingly essential for a range of interactive applications, such as industrial automation…
SPARQ: An Optimization Framework for the Distribution of AI-Intensive Applications under Non-Linear Delay Constraints
Pietro Spadaccino, Paolo Di Lorenzo, Sergio Barbarossa +2
Next-generation real-time compute-intensive applications, such as extended reality, multi-user gaming, and autonomous transportation, are increasingly composed of heterogeneous AI-…
Nuclear Atomic Norm for parametric estimation of sparse channels
Álvaro Callejas-Ramos, Matilde Sánchez-Fernández, Antonia Tulino +1
Parametric channel estimation in mmWave not only enables the anticipated large spectral efficiency gains of \acs{MIMO} systems but also reveals important propagation parameters, al…