Ara es mostren els items 21-36 de 36

    • Learning recursive goal proposal: a hierarchical reinforcement learning approach 

      Palliser Sans, Rafel (Universitat Politècnica de Catalunya, 2021-04-28)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Universitat de Barcelona / Universitat Rovira i Virgili. Escola Tècnica Superior d'Enginyeria
      Reinforcement Learning's unique way of learning has led to remarkable successes like Alpha Zero or Alpha Go, mastering the games of Chess and Go, and being able to beat the respective World Champions. Notwithstanding, ...
    • Learning to run naturally: guiding policies with the Spring-Loaded Inverted Pendulum 

      Ordoñez Apraez, Daniel Felipe (Universitat Politècnica de Catalunya, 2021-04-28)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Universitat de Barcelona / Universitat Rovira i Virgili
      In this work, we proposed a new approach for learning legged locomotion for any legged robot, in the sagittal plane, by using a combination of classical control techniques and reinforcement learning. Specifically, we use ...
    • Learning to safely drive using Reinforcement Learning 

      Carrera Escalé, Laura (Universitat Politècnica de Catalunya, 2021-04-28)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Universitat de Barcelona / Universitat Rovira i Virgili
      The autonomous driving research area has gained popularity over the past decade, even more with the launch of the first autonomous vehicle from Tesla, Inc. Different research branches are currently being studied, and one ...
    • Leveraging MARL techniques to speed up learning by decomposing big action spaces 

      Marset Alsina, Joaquim (Universitat Politècnica de Catalunya, 2023-10-20)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis explores the field of multi-agent reinforcement learning (MARL). It presents a solution to tackle the problems single-agent methods face when they cannot solve a task because the action dimensionality is too ...
    • Meta reinforcement learning for fast adaptation to changing conditions: application to adaptive optics in large telescopes 

      Vázquez Novoa, Fernando (Universitat Politècnica de Catalunya, 2022-10-18)
      Projecte Final de Màster Oficial
      Accés restringit per acord de confidencialitat
    • Multi-agent reinforcement learning for underwater acousting tracking 

      Gallici, Matteo (Universitat Politècnica de Catalunya, 2022-06-29)
      Projecte Final de Màster Oficial
      Accés restringit per decisió de l'autor
    • 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 ...
    • On Meta-Reinforcement Learning in task distributions with varying dynamics 

      Retyk, Federico (Universitat Politècnica de Catalunya, 2021-04-28)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Universitat de Barcelona / Universitat Rovira i Virgili
      Meta-reinforcement learning has the potential to enable artificial agents to master new skills with improved sample-efficiency by leveraging previous learning experience in tasks that are diverse but share common structure. ...
    • RedEye: herramienta libre de bajo coste para facilitar la accesibilidad al ordenador a personas con dificultades motoras 

      Ruano Ligero, Raul (Universitat Politècnica de Catalunya, 2009-07-07)
      Projecte/Treball Final de Carrera
      Accés obert
      Actualmente el ordenador es una herramienta tan indispensable que toda persona tendría que tener acceso a ella, ya que se usa en el ámbito domestico, laboral o a nivel formativo. Este proyecto de final de carrera tiene ...
    • Regularized approximate policy iteration using kernel for on-line reinforcement learning 

      Esposito, Gennaro (Universitat Politècnica de Catalunya, 2015-06-17)
      Tesi
      Accés obert
      By using Reinforcement Learning (RL), an autonomous agent interacting with the environment can learn how to take adequate actions for every situation in order to optimally achieve its own goal. RL provides a general ...
    • Reinforcement learning applied as a game mechanic and design element in a custom boss for World of Warcraft 

      Goncevatt, Carlos Alejandro (Universitat Politécnica de Catalunya, 2020-06-23)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Universitat de Barcelona / Universitat Rovira i Virgili
      Reinforcement Learning is one of the main categories of Machine Learning algorithms and has seen many applications throughout a wide variety of elds. On the other side, the industry of video games has been in a continuous ...
    • Reinforcement learning for portfolio optimization 

      Fontana Miyoshi Bianchi, Rafael (Universitat Politècnica de Catalunya, 2022-04-27)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Universitat Rovira i Virgili / Universitat de Barcelona
      In this study, the potential of using Reinforcement Learning for Portfolio Optimization is investigated, considering the constraints set by the stock market, such as liquidity, slippage, and transaction costs. Five Deep ...
    • Resolució d'un problema de planificació industrial mitjançant reinforcement learning 

      Velasco Olivera, Ferran (Universitat Politècnica de Catalunya, 2021-01-10)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat
    • Reverse curriculum hierarchical recursive learning 

      Tahar, Tair (Universitat Politècnica de Catalunya, 2022-06-29)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis presents a study on Hierarchical Reinforcement Learning, where several different approaches for learning are researched, developed and tested. Specifically, the algorithm Reverse Curriculum Vicinity Learning ...
    • Speeding up Reinforcement Learning with Learned Models 

      Pou Mulet, Bartomeu (Universitat Politècnica de Catalunya, 2019-10-16)
      Projecte Final de Màster Oficial
      Accés obert
      In this master thesis, we have tried to solve two of most prominent Reinforcement Learning problems: sparse rewards and sample efficiency. The combination of Model Based Reinforcement Learning, Hindsight Experience Replay ...
    • Videojoc de realitat virtual en Unity 

      Garí Romagosa, Antoni (Universitat Politècnica de Catalunya, 2017-07)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      En el Treball Final de Grau que s’exposa a continuació, s’ha realitzat el videojoc Carpark amb la finalitat per l’autor d’assolir coneixements sobre Realitat Virtual per augmentar els coneixements en la matèria. Aquesta ...