9 citations · 16 across the 5 of their papers we have counts for
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cs.MA2026
JaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in Seconds
Daniele Montagnani, Andrea Coletta, Antonietta Mira +1
Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers. Its adoption, pioneered in finance, has…
cs.MA2025
BeforeIT.jl: High-Performance Agent-Based Macroeconomics Made Easy
Aldo Glielmo, Mitja Devetak, Steven Hoekstra +5
BeforeIT is an open-source software for building and simulating state-of-the-art macroeconomic agent-based models (macro ABMs) based on the recently introduced macro ABM developed…