Agent-based modelling (ABM) has emerged as a pivotal tool in macroeconomics and economic policy analysis. By simulating the interactions of numerous heterogeneous agents — such as households, firms, ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...