2 papers
cs.MA2026
Imprecise Belief Fusion Improves Multi-agent Social Learning
Zixuan Liu, Jonathan Lawry, Michael Crosscombe
In social learning, agents learn not only from direct evidence but also through interactions with their peers. We investigate the role of imprecision in such interactions and ask w…
cs.MA2025
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Jianhong Wang, Yang Li, Samuel Kaski +1
Open multi-agent systems are increasingly important in modeling real-world applications, such as smart grids, swarm robotics, etc. In this paper, we aim to investigate a recently p…