Now showing items 1-20 of 47

    • A deep reinforcement learning approach for optimization and task-offloading of mobile edge computing in virtual radio access networks 

      Biosca Caro, Jordi (Universitat Politècnica de Catalunya, 2020-10-15)
      Master thesis
      Open Access
      Covenantee:   Technische Universiteit Eindhoven
      Mobile systems are increasing in number and, in the future, exponential growth is expected with the deployment of new technologies like 5G and Internet of Things. Requirements from those technologies lead to an improvement ...
    • A new deep reinforcement learning architecture for autonomous UAVs 

      Muñoz Ferran, Guillem (Universitat Politècnica de Catalunya, 2018-09-07)
      Bachelor thesis
      Open Access
      Recent improvements in computation and algorithmic research, together with the rising era of Big Data, have allowed Artificial Intelligence increase its popularity within masses. The recent publication of the Deep Q-Network ...
    • A novel approach for dynamic capacity sharing in multi-tenant scenarios 

      Vilà Muñoz, Irene; Pérez Romero, Jordi; Sallent Roig, Oriol; Umbert Juliana, Anna (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference lecture
      Open Access
      Network slicing is included as a key feature of the 5G architecture in order to simultaneously support diverse service types with heterogeneous requirements. The realization of network slicing in the Radio Access Network ...
    • A reinforcement learning algorithm for optimalVirtual network functions allocations among 5G edge computing centers 

      Ruiz De Mendoza, Carlos Ausias (Universitat Politècnica de Catalunya, 2021-07-14)
      Master thesis
      Open Access
      Covenantee:   Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
      The fifth generation (5G) mobile networks are enabling operators and stakeholders to enhance and innovate new services in response to an increasing market demand. 5G architecture provides scalability and flexibility for ...
    • A reinforcement learning approach for placement of stateful Virtualized Network Functions 

      Kibalya, Godfrey Mirondo; Serrat Fernández, Juan; Gorricho Moreno, Juan Luis; Gift Bujjingo, Doreen; Sseregunda, Jonathan; Zhang, Peiying (International Federation for Information Processing (IFIP), 2021)
      Conference lecture
      Open Access
      Network softwarization increases network flexibility by supporting the implementation of network functions such as firewalls as software modules. However, this creates new concerns on service reliability due to failures ...
    • Adaptive optics control with reinforcement learning: first steps 

      Pou Mulet, Bartomeu; Quiñones, Eduardo; Martín Muñoz, Mario (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      When planar wavefronts from distant stars traverse the atmosphere, they become distorted due to the atmosphere’s inhomogeneous temperature distribution. Adaptive Optics (AO) is the field in charge of correcting those ...
    • An application of explainability methods in reinforcement learning 

      Climent Muñoz, Antoni (Universitat Politècnica de Catalunya, 2020-07-02)
      Bachelor thesis
      Open Access
      La popularidad de los métodos explicativos está aumentando en el contexto de la Inteligencia Artificial y consiste en dar explicaciones inteligibles a modelos complejos. Recientemente, en el contexto del Aprendizaje Reforzado ...
    • Application of reinforcement learning for the control of packet routers 

      López Martínez, Raúl (Universitat Politècnica de Catalunya, 2020-07)
      Bachelor thesis
      Open Access
      With increasing importance, Internet-based applications need of a more and more complex mesh of networking infrastructure to address the stringent connectivity requirements that they require. 5G networking is being developed ...
    • Applying multi-agent reinforcement learning to solve sequential moral dilemmas 

      Choinski, Michal (Universitat Politècnica de Catalunya, 2021-04-26)
      Master thesis
      Open Access
      Covenantee:   Universitat de Barcelona. Facultat de Matemàtiques i Informàtica / Universitat Rovira i Virgili
      Incorporation of ethical values in the field of Artificial Intelligence is inevitable. With the rapid development of technologies capable of making autonomous decisions, more attention should be dedicated to the process ...
    • Applying the rainbow architecture to intrusion detection systems 

      Izquierdo García-Faria, Tomás (Universitat Politècnica de Catalunya, 2021-04-28)
      Master thesis
      Open Access
      There is a lot of expectation on how Artificial Intelligence (AI) is going to have an impact on Cybersecurity. From new sophisticated attacks to new ways of defending a system from cybercriminals. A lot of techniques are ...
    • Approximate policy iteration using regularized Bellman residuals minimization 

      Esposito, Gennaro; Martín Muñoz, Mario (Taylor & Francis, 2016)
      Article
      Open Access
      Reinforcement Learning (RL) provides a general methodology to solve complex uncertain decision problems, which are very challenging in many real-world applications. RL problem is modeled as a Markov Decision Process (MDP) ...
    • Aprendizaje por refuerzo y generación procedural evolutiva para un videojuego de estrategia 

      Amat Bujaldon, Carlos (Universitat Politècnica de Catalunya, 2021-10-25)
      Bachelor thesis
      Open Access
    • Comparación de la explicación obtenida con modelos de explicabilidad para diferentes métodos de Reinforcement Learning 

      Rivera Hernández, Javier (Universitat Politècnica de Catalunya, 2022-06-28)
      Bachelor thesis
      Open Access
      El creciente uso de las tecnologías de Inteligencia Artificial para proveer productos y servicios destinados a humanos ha aumentado el interes en como estas tecnologías toman decisiones que pueden tener un grave impacto ...
    • Deep reinforcement learning and signal processing applications for investment strategies 

      Estrada Najar, Victor (Universitat Politècnica de Catalunya, 2021-02)
      Bachelor thesis
      Open Access
      En este proyecto miramos los fundamentos de las Finanzas, del Deep Reinforcement Larning, y del procesado de señal para construir una estrategia de inversión en bolsa. El estudio parte de un desarrollo hecho por otra ...
    • Desarrollo de un entorno orientado al aprendizaje por refuerzo de multi-agentes sociales 

      Castro Ortega, Felipe (Universitat Politècnica de Catalunya, 2022-06-27)
      Bachelor thesis
      Open Access
      En este trabajo se realiza una búsqueda del estado del arte en entornos multiagente para la técnica de aprendizaje Reinforcement Learning. Más adelante, se filtran los entornos encontrados y se escoge uno para su adaptación, ...
    • Development of a competitive Rocket League bot using reinforcement learning 

      Sarrià Pascual, Daniel (Universitat Politècnica de Catalunya, 2022-04-25)
      Bachelor thesis
      Open Access
      Rocket League es un popular juego en el que los jugadores pueden competir entre sí o contra bots. Sin embargo, desde un punto de vista competitivo, todavía hay espacio para mejorar la calidad de las capacidades de los bots. ...
    • Distributed Deep Reinforcement Learning in an HPC system and deployment to the Cloud 

      Escobar Castells, Miquel (Universitat Politècnica de Catalunya, 2021-07-01)
      Bachelor thesis
      Open Access
      Combinar l'aprenentatge per reforç amb l'aprenentatge profund és, a dia d'avui, un dels reptes més grans en el sector d'investigació en intel·ligència artificial. Escalar aquest tipus d'aplicacions mitjançant supercomputadors ...
    • Estudi de la resolució de trencaclosques matemàtics amb Reinforcement learning 

      Palomo Olivares, Amanda (Universitat Politècnica de Catalunya, 2022-07-14)
      Bachelor thesis
      Open Access
      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 ...
    • Estudi i disseny d'un algoritme de control de la qualitat de l'aigua en una xarxa de distribució d'aigua basat en aprenentatge per reforç 

      Call Ollé, Xavier (Universitat Politècnica de Catalunya, 2022-07-11)
      Bachelor thesis
      Open Access
      El clor és el desinfectant més popular a l’hora d’eliminar els bacteris a les xarxes de distribució d’aigua. La seva alta efectivitat i el seu baix preu fan que sigui el millor aliat per desinfectar la xarxa, però un ús ...
    • Ethical conversational agent for performing in-game user experience questionnaires 

      Rosello Marin, Eric (Universitat Politècnica de Catalunya, 2022-04-27)
      Master thesis
      Open Access
      Covenantee:   Universitat de Barcelona / Universitat Rovira i Virgili
      User experience questionnaires are used at the end of a playtesting session to assess the quality of video games and improve their design. Performing a survey after the experience can lead to the user not remembering details ...