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Deep reinforcement learning IA para Starcraft 2
dc.contributor | Béjar Alonso, Javier |
dc.contributor.author | Roldán Montaner, Carlos |
dc.date.accessioned | 2018-08-30T17:35:20Z |
dc.date.available | 2018-08-30T17:35:20Z |
dc.date.issued | 2018-06 |
dc.identifier.uri | http://hdl.handle.net/2117/120692 |
dc.description.abstract | Este proyecto intenta desarrollar agentes de aprendizaje por refuerzo para escenarios concretos de Starcraft 2 y sacar conclusiones sobre cuales son las dificultades más importantes y los enfoques más adecuados para afrontar el reto que supone. |
dc.description.abstract | This project's goal is to develop reinforcement learning agents for specific scenarios of Starcraft 2 and to draw some conclusions about which are the main difficulties and what are the best approaches to face the challenge that it presents. |
dc.language.iso | spa |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Artificial intelligence |
dc.subject.lcsh | Reinforcement learning |
dc.subject.other | aprenentatge |
dc.subject.other | reforç |
dc.subject.other | Starcraft |
dc.subject.other | Starcraft 2 |
dc.subject.other | Q-Learning |
dc.subject.other | SARSA |
dc.subject.other | DQN |
dc.subject.other | IA |
dc.title | Deep reinforcement learning IA para Starcraft 2 |
dc.type | Bachelor thesis |
dc.subject.lemac | Intel·ligència artificial |
dc.subject.lemac | Aprenentatge per reforç |
dc.identifier.slug | 134265 |
dc.rights.access | Open Access |
dc.date.updated | 2018-06-27T04:03:03Z |
dc.audience.educationlevel | Grau |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | GRAU EN ENGINYERIA INFORMÀTICA (Pla 2010) |