id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-163946-a4vtc7rp	Awasthi, Raghav	VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning	2020-09-14		.txt	text/plain	4476	185	47	Therefore, we pipelined the ACKTR model with a supervised learning based Contextual Bandits approach where recommendations for vaccine distribution policy were used as training data for the latter. In this paper, we introduce VacSIM, a novel feed-forward reinforcement learning approach for learning effective policy combined with near real-time optimization of vaccine distribution and demonstrate its potential benefit if applied to five States across India.	cache/cord-163946-a4vtc7rp.txt	txt/cord-163946-a4vtc7rp.txt
