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cs.AI2026
MetaMind: General and Cognitive World Models in Multi-Agent Systems by Meta-Theory of Mind
Lingyi Wang, Rashed Shelim, Walid Saad +1
A major challenge for world models in multi-agent systems is to understand interdependent agent dynamics, predict interactive multi-agent trajectories, and plan over long horizons…
cs.AI2025
World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks
Lingyi Wang, Rashed Shelim, Walid Saad +1
Traditional reinforcement learning (RL)-based learning approaches for wireless networks rely on expensive trial-and-error mechanisms and real-time feedback based on extensive envir…