3 papers
cs.GT2026
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…
cs.LG2025
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…
cs.NI2025
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.,…