16 citations · 68 across the 12 of their papers we have counts for
3 papers · 1 filter
Graph Neural Modeling of Network Flows
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
Network flow problems, which involve distributing traffic such that the underlying infrastructure is used effectively, are ubiquitous in transportation and logistics. Among them, t…
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
Christoffel Doorman, Victor-Alexandru Darvariu, Stephen Hailes +1
A key problem in network theory is how to reconfigure a graph in order to optimize a quantifiable objective. Given the ubiquity of networked systems, such work has broad practical…
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Ho Long Fung, Victor-Alexandru Darvariu, Stephen Hailes +1
An often neglected issue in multi-agent reinforcement learning (MARL) is the potential presence of unreliable agents in the environment whose deviations from expected behavior can…