Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System

no code implementations • 1 Dec 2022 • Cooper Cone, Michael Owen, Luis Alvarez, Marc Brittain

The proliferation of unmanned aircraft systems (UAS) has caused airspace regulation authorities to examine the interoperability of these aircraft with collision avoidance systems initially designed for large transport category aircraft.

Collision Avoidance reinforcement-learning +1

Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning

no code implementations • 6 Nov 2018 • Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, Mykel J. Kochenderfer

Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collision avoidance systems and autonomous cars.

Autonomous Driving Collision Avoidance +2