2025
Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
NeurIPS 2025poster
Agent-Based Models (ABMs) are powerful tools for studying emergent properties in complex systems. In ABMs, agent behaviors are governed by local interactions and stochastic rules. However, these rules are ad hoc and, in general, non-differentiable, limiting the use of gradient-based methods for opti…