id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-33593	Albarrans, Guilherme; Freire, Valdinei	Likelihood Estimator for Multi Model-Based Reinforcement Learning	2024		.htm	text/html	6162	263	40	By incorporating learned models into the decision-making process, these methods can adapt more readily to new situations and exploit previously acquired knowledge to achieve better performance. Through empirical evaluation and analysis, we aim to provide insights into the comparative advantages and limitations of both traditional single-model and proposed segmented model approaches in addressing challenges posed by environments with heterogeneous dynamics.	cache/bracis-33593.htm	txt/bracis-33593.txt