• A competitive strategy for function approximation in Q-learning 

      Agostini, Alejandro Gabriel; Celaya Llover, Enric (2011)
      Text en actes de congrés
      Accés obert
      In this work we propose an approach for generalization in continuous domain Reinforcement Learning that, instead of using a single function approximator, tries many different function approximators in parallel, each one ...
    • Aprendizaje por refuerzo y generación procedural evolutiva para un videojuego de estrategia 

      Amat Bujaldon, Carlos (Universitat Politècnica de Catalunya, 2021-10-25)
      Treball Final de Grau
      Accés obert
    • Characterization of Channel Selection in LTE-U based on Q-Learning 

      Concetti, Massimiliano (Universitat Politècnica de Catalunya, 2016-02)
      Projecte Final de Màster Oficial
      Accés obert
      The usage of LTE in unlicensed bands is a topic of great interest among the telecommunications companies and organizations, given the many advantages it can bring. For this reason, many feasibility studies have been conducted ...
    • Deep reinforcement learning IA para Starcraft 2 

      Roldán Montaner, Carlos (Universitat Politècnica de Catalunya, 2018-06)
      Treball Final de Grau
      Accés obert
      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 ...
    • Estudi de la resolució de trencaclosques matemàtics amb Reinforcement learning 

      Palomo Olivares, Amanda (Universitat Politècnica de Catalunya, 2022-07-14)
      Treball Final de Grau
      Accés obert
      Aquest Treball de Fi de Grau deu el seu nom al seu objectiu principal: abordar l’estudi de la incorporació del Reinforcement Learning als trencaclosques que integren el contingut del treball. En aquest paradigma, els ...
    • Multi-agent systems, a road to robot cooperation 

      Bosch Bosch, Jordi (Universitat Politècnica de Catalunya, 2020-02-24)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   University of Texas at Austin. Cockrell School of Engineering
      This research project is an effort towards achieving robot cooperation to complete a set of tasks. The objective is to analyse, compare and explore different reinforcement learning algorithms and see how they perform. This ...
    • Offline reinforcement learning for ambulance dispatch 

      Lamarca Ferrés, Enric (Universitat Politècnica de Catalunya, 2023-10-19)
      Projecte Final de Màster Oficial
      Accés obert
      This master's thesis is focused on applying offline reinforcement learning techniques to the ambulance dispatch problem, which involves selecting the most appropriate ambulance to dispatch when an incident occurs. The ...
    • Reinforcement Learning for Energy Harvesting 5G Mobile Networks 

      Cuoccio, Emanuele (Universitat Politècnica de Catalunya, 2016-07)
      Projecte Final de Màster Oficial
      Accés obert
      In the era of ubiquitous connectivity, next generation mobile networks capacity will continuously increase in order to support a progressively higher volume of data traffic, providing low latency and high reliability. The ...
    • Social crowd controllers using reinforcement learning methods 

      Casadiego Bastidas, Luiselena (Universitat Politècnica de Catalunya, 2014-07-24)
      Projecte Final de Màster Oficial
      Accés obert
      Crowd Simulation is an area of research that is present in several disciplines and industries. Even though the visualization of crowds is an important subject, the behavior behind it helps to make it believable. Behavioral ...