Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient
M Cabezas-Olivenza, E Zulueta, A Sanchez-Chica… - Mathematics, 2022 - mdpi.com
The Deep Deterministic Policy Gradient (DDPG) algorithm is a reinforcement learning
algorithm that combines Q-learning with a policy. Nevertheless, this algorithm generates …
algorithm that combines Q-learning with a policy. Nevertheless, this algorithm generates …
Improving generalization in aerial and terrestrial mobile robots control through delayed policy learning
Deep Reinforcement Learning (DRL) has emerged as a promising approach to enhance
motion control and decision-making through a wide range of robotic applications. While prior …
motion control and decision-making through a wide range of robotic applications. While prior …
Hybrid unmanned aerial underwater vehicles: A survey on concepts and technologies
P Miranda Pinheiro… - Available at SSRN …, 2023 - papers.ssrn.com
Abstract Hybrid Unmanned Aerial Underwater Vehicle (HUAUV) is a class of multi-modal
mobile robots characterized by the ability to fly and navigate underwater, as well as being …
mobile robots characterized by the ability to fly and navigate underwater, as well as being …
[引用][C] Trajectory Planning of an Aerial-Underwater Hybrid Vehicle Based on Heuristics for Energy Efficiency
PM Pinheiro, AA Neto, PLJ Drews Jr - … Estendidos do XV Simpósio Brasileiro de …, 2023 - SBC