4 papers
Learning in Proportional Allocation Auctions Games
Younes Ben Mazziane, Cleque-Marlain Mboulou Moutoubi, Eitan Altman +1
The Kelly or proportional allocation mechanism is a simple and efficient auction-based scheme that distributes an infinitely divisible resource proportionally to the agents bids. W…
Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
Andrea Fox, Francesco De Pellegrini, Eitan Altman
In edge computing systems, autonomous agents must make fast local decisions while competing for shared resources. Existing MARL methods often resume to centralized critics or frequ…
Performing Load Balancing under Constraints
Andrea Fox, Francesco De Pellegrini, Eitan Altman +2
Join-the-shortest queue (JSQ) and its variants have often been used in solving load balancing problems. The aim of such policies is to minimize the average system occupation, e.g.,…
Optimal Flow Admission Control in Edge Computing via Safe Reinforcement Learning
A. Fox, F. De Pellegrini, F. Faticanti +2
With the uptake of intelligent data-driven applications, edge computing infrastructures necessitate a new generation of admission control algorithms to maximize system performance…