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20202026
most citedDeep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

49 citations · 188 across the 14 of their papers we have counts for

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physics.soc-ph2020★ 12 cited

CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19

Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis

The paper develops a stochastic Agent-Based Model (ABM) mimicking the spread of infectious diseases in geographical domains. The model is designed to simulate the spatiotemporal sp…