[PDF][PDF] A comprehensive survey on safe reinforcement learning

J Garcıa, F Fernández - Journal of Machine Learning Research, 2015 - jmlr.org
Abstract Safe Reinforcement Learning can be defined as the process of learning policies
that maximize the expectation of the return in problems in which it is important to ensure …

Unmanned aerial vehicles using machine learning for autonomous flight; state-of-the-art

SY Choi, D Cha - Advanced Robotics, 2019 - Taylor & Francis
In recent years, since researchers began to study on Unmanned Aerial Vehicles (UAVs),
UAVs have been integrated into today's everyday life, including civilian area and military …

Safe exploration in markov decision processes

TM Moldovan, P Abbeel - ar** of nuclear radiation field
J Han, Y Xu, L Di, YQ Chen - Journal of Intelligent & Robotic Systems, 2013 - Springer
Low cost UAVs are becoming more and more popular in both research and practical
applications, and it leads to a new, potentially significant service product known as UAV …

Security of unmanned aerial vehicle systems against cyber-physical attacks

C Rani, H Modares, R Sriram… - The Journal of …, 2016 - journals.sagepub.com
The federal aviation administration has estimated that by the year 2020, the United States
will have over 30,000 drones. Nowadays, drones, also known as unmanned aerial vehicles …

Quantitative assessment of proximity risks associated with unmanned aerial vehicles in construction

H Izadi Moud, I Flood, X Zhang… - … of Management in …, 2021 - ascelibrary.org
While unmanned aerial vehicles (UAVs) are extensively used for data collection in the
construction industry, currently, no comprehensive quantitative method measures the …

Rolling horizon path planning of an autonomous system of UAVs for persistent cooperative service: MILP formulation and efficient heuristics

BD Song, J Kim, JR Morrison - Journal of Intelligent & Robotic Systems, 2016 - Springer
A networked system consisting of unmanned aerial vehicles (UAVs), automated logistic
service stations (LSSs), customer interface software, system orchestration algorithms and …

Intelligent cooperative control architecture: a framework for performance improvement using safe learning

A Geramifard, J Redding, JP How - Journal of Intelligent & Robotic …, 2013 - Springer
Planning for multi-agent systems such as task assignment for teams of limited-fuel
unmanned aerial vehicles (UAVs) is challenging due to uncertainties in the assumed …