3 papers
cs.MA2026
On Symmetry for Characterizing Agent Heterogeneity in Multi-Agent Systems
Jianhong Wang, Jonathan Lawry
Understanding agent heterogeneity can inform the design of shared and agent-specific policy representations, however existing criteria provide no unified structural test. We study…
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…