Developing escape strategies for copepods using Q-learning
Typ
Examensarbete för masterexamen
Program
Complex adaptive systems (MPCAS), MSc
Publicerad
2019
Författare
Holmberg, Erik
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Copepods are a type of small crustaceans with the ability to move using powerful
jumps. This project seeks to develop a model for the dynamics of these copepods in
the turbulent flows of the oceans and then apply Q-learning to find good navigation
strategies. Contained in this project is also the development of a statistical model
of a turbulent flow.
It is found that using Q-learning it is possible for the simulated copepods to learn
strategies that allow them to avoid dangerous areas almost equally as well as more
simple strategies that require more information.
Beskrivning
Ämne/nyckelord
Machine learning , Fluid mechanics , Simulation , Copepods , Q-learning