Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
Ricardo B. Grando Junior C. de Jesus Victor A. Kich Alisson H. Kolling Nicolas P. Bortoluzzi Pedro M. Pinheiro Armando A. Neto Paulo L. J. Drews Ricardo B. Grando Junior C. de Jesus Victor A. Kich Alisson H. Kolling Nicolas P. Bortoluzzi Pedro M. Pinheiro Armando A. Neto Paulo L. J. Drews
Since the application of Deep Q-Learning to the continuous action domain in Atari-like games, Deep Reinforcement Learning (Deep-RL) techniques for motion control have been qualitatively enhanced. Nowadays, modern Deep-RL can be successfully applied to solve a wide range of complex decision-making tasks for many types of vehicles. Based on this context, in this paper, we propose the use of Deep-RL ...