Reinforcement Learning Approach for Aircraft Profile Optimization

dc.contributor.author	Shakhov, Mykhailo
dc.date.accessioned	2024-02-14T11:39:05Z
dc.date.available	2024-02-14T11:39:05Z
dc.date.issued	2022
dc.identifier.citation	Shakhov, Mykhailo. Reinforcement Learning Approach for Aircraft Profile Optimization / Shakhov, Mykhailo; Supervisor: Taras Firman; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2022. – 39 p.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/4429
dc.language.iso	en	uk
dc.title	Reinforcement Learning Approach for Aircraft Profile Optimization	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	This project is aimed for using RL approaches for flight planning problem in static and dynamic weather environments. Classical solutions are mostly based on solving non-linear optimization problem with additional non-linear constraints. This kind of approaches are complex, slow and not always can find optimal solution of the initial problem. Current research is dedicated to testing different RL methods that can replace classical ones with at least the same performance.	uk