13 citations · 30 across the 6 of their papers we have counts for
Showing 2021 · cs.LGShow all
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cs.LG2021★ 9 cited
Integrating LSTMs and GNNs for COVID-19 Forecasting
Nathan Sesti, Juan Jose Garau-Luis, Edward Crawley +1
The spread of COVID-19 has coincided with the rise of Graph Neural Networks (GNNs), leading to several studies proposing their use to better forecast the evolution of the pandemic.…
cs.LG2021★ 4 cited
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron
Deep Reinforcement Learning (DRL) is considered a potential framework to improve many real-world autonomous systems; it has attracted the attention of multiple and diverse fields.…