Search Results for author:
Found 2 papers, 2 papers with code
DEAP Cache: Deep Eviction Admission and Prefetching for Cache
While previous approaches used the past as an indicator of the future, we instead explicitly model the future frequency and recency in a multi-task fashion with prefetching, leveraging the abilities of deep networks to capture futuristic trends and use them for learning eviction and admission.
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning
We approach this problem by proposing a novel pipeline VacSIM that dovetails Deep Reinforcement Learning models into a Contextual Bandits approach for optimizing the distribution of COVID-19 vaccine.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
