Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10908/22800
Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.Mentor | Quesada, Lucía | |
dc.creator.Autor | Porto, Lucila | |
dc.date.accessioned | 2022-11-09T15:30:35Z | - |
dc.date.available | 2022-11-09T15:30:35Z | - |
dc.date.issued | 2022-11 | - |
dc.identifier.uri | http://hdl.handle.net/10908/22800 | - |
dc.description | Fil: Porto, Lucila. Universidad de San Andrés. Departamento de Economía; Argentina. | - |
dc.description.abstract | What if Q-Learning algorithms set not only prices but also the degree of differentiation between them? In this paper, I tackle this question by analyzing the competition between two Q-Learning algorithms in a Hotelling setting. I find that most of the simulations converge to a Nash Equilibrium where the algorithms are playing non-competitive strategies. In most simulations, they optimally learn not to differentiate each other and to set a supra-competitive price. An underlying deviation and punishment scheme sustains this implicit agreement. The results are robust to the enlargement of the action space and the introduction of relocalization costs. | - |
dc.description.abstract | Keywords: Algorithmic Collusion, Reinforcement Learning, Q-Learning, Hotelling. | - |
dc.format | application/pdf | - |
dc.language | eng | - |
dc.publisher | Universidad de San Andrés. Departamento de Economía | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.title | Q-Learning algorithms in a hotelling model | - |
dc.type | Tesis | - |
dc.type | info:eu-repo/semantics/masterThesis | - |
dc.type | info:ar-repo/semantics/tesis de maestría | - |
dc.type | info:eu-repo/semantics/updatedVersion | - |
Aparece en las colecciones: | Tesis de Maestría en Economía |
Ficheros en este ítem:
Fichero | Tamaño | Formato | |
---|---|---|---|
[P][W] T. M. Eco. Porto, Lucila.pdf | 2.34 MB | Adobe PDF | Visualizar/Abrir |
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.