id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-12008	Li, Yue; Gao, Guokang	Large-scale Passenger Behavior Learning and Prediction in Airport Terminals based on Multi-Agent Reinforcement Learning	2023	7	.pdf	application/pdf	5404	247	51	Algorithm 1 Output: collection of agents 1 Load the airport terminal simulation environment, initialize the agent parameters 2 Set up and initialize a shared Q∗ table for each group and initialize the Q-value for each agent 3 Run the airport terminal simulation environment and obtain observations 4 Learning process of the agent for agent Independent learning of multi-agent may lead to environmental instability and long convergence time.	cache/fcis-12008.pdf	txt/fcis-12008.txt