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Autor:
de Moraes, Linda Dotto, Kich, Victor Augusto, Kolling, Alisson Henrique, Bottega, Jair Augusto, Steinmetz, Raul, da Silva, Emerson Cassiano, Grando, Ricardo Bedin, Cuckla, Anselmo Rafael, Gamarra, Daniel Fernando Tello
Publikováno v:
International Conference on Intelligent Systems Design and Applications, 2022
In this work, we present two Deep Reinforcement Learning (Deep-RL) approaches to enhance the problem of mapless navigation for a terrestrial mobile robot. Our methodology focus on comparing a Deep-RL technique based on the Deep Q-Network (DQN) algori
Externí odkaz:
http://arxiv.org/abs/2301.11173
