30 citations · 91 across the 16 of their papers we have counts for
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cs.MA2022
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning
Jordan Langham-Lopez, Sebastian M. Schmon, Patrick Cannon
Multi-agent reinforcement learning experiments and open-source training environments are typically limited in scale, supporting tens or sometimes up to hundreds of interacting agen…
cs.MA2022★ 6 cited
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Joel Dyer, Patrick Cannon, J. Doyne Farmer +1
Calibrating agent-based models (ABMs) to data is among the most fundamental requirements to ensure the model fulfils its desired purpose. In recent years, simulation-based inferenc…