Showing 2025Show all
3 papers · 1 filter
cs.AI2025
Guidelines for Applying RL and MARL in Cybersecurity Applications
Vasilios Mavroudis, Gregory Palmer, Sara Farmer +6
Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL) have emerged as promising methodologies for addressing challenges in automated cyber defence (ACD). These…
cs.LG2025
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis +1
We consider the classic problem of online convex optimisation. Whereas the notion of static regret is relevant for stationary problems, the notion of switching regret is more appro…
cs.LG2025
Fairness with Exponential Weights
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
Motivated by the need to remove discrimination in certain applications, we develop a meta-algorithm that can convert any efficient implementation of an instance of Hedge (or equiva…