[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 …
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 …
UAVs have been integrated into today's everyday life, including civilian area and military …
Safe exploration in markov decision processes
TM Moldovan, P Abbeel - arXiv preprint arXiv:1205.4810, 2012 - arxiv.org
In environments with uncertain dynamics exploration is necessary to learn how to perform
well. Existing reinforcement learning algorithms provide strong exploration guarantees, but …
well. Existing reinforcement learning algorithms provide strong exploration guarantees, but …
Autonomous uav navigation using reinforcement learning
Unmanned aerial vehicles (UAV) are commonly used for missions in unknown
environments, where an exact mathematical model of the environment may not be available …
environments, where an exact mathematical model of the environment may not be available …
Safety verification of cyber-physical systems with reinforcement learning control
This paper proposes a new forward reachability analysis approach to verify safety of cyber-
physical systems (CPS) with reinforcement learning controllers. The foundation of our …
physical systems (CPS) with reinforcement learning controllers. The foundation of our …
Low-cost multi-UAV technologies for contour mapping of nuclear radiation field
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 …
applications, and it leads to a new, potentially significant service product known as UAV …
Security of unmanned aerial vehicle systems against cyber-physical attacks
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 …
will have over 30,000 drones. Nowadays, drones, also known as unmanned aerial vehicles …
Rolling horizon path planning of an autonomous system of UAVs for persistent cooperative service: MILP formulation and efficient heuristics
A networked system consisting of unmanned aerial vehicles (UAVs), automated logistic
service stations (LSSs), customer interface software, system orchestration algorithms and …
service stations (LSSs), customer interface software, system orchestration algorithms and …
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 …
construction industry, currently, no comprehensive quantitative method measures the …
Intelligent cooperative control architecture: a framework for performance improvement using safe learning
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 …
unmanned aerial vehicles (UAVs) is challenging due to uncertainties in the assumed …