Exploració per tema "Reinforcement learning"

Ara es mostren els items 21-40 de 150

    • Aprendizaje por refuerzo aplicado a los videojuegos cooperativos 

      Alcocer Soto, Daniel (Universitat Politècnica de Catalunya, 2018-07)
      Treball Final de Grau
      Accés obert
      Se ha desarrollado un algoritmo que combina el uso de redes neuronales con el algoritmo Q-learning para aprender a jugar con la ayuda de un jugador humano y aprender a cooperar con él para ganar en un videojuego basado en ...

    • Aprendizaje por refuerzo aplicado a personajes no controlables en Minetest 

      Romero Reviriego, Aitor (Universitat Politècnica de Catalunya, 2019-01)
      Treball Final de Grau
      Accés obert
      En este proyecto se ha utilizado la rama de la IA llamada aprendizaje por refuerzo y intenta desarrollar agentes para el videojuego Minetest que actúen como aliados del jugador.

    • Aprendizaje por refuerzo multi-nivel para sistemas RRM 

      Collados Zamora, Kevin (Universitat Politècnica de Catalunya, 2014-03-17)
      Projecte/Treball Final de Carrera
      Accés obert
      [ANGLÈS] This paper focuses on the problem of resource management in the field of RRM (Radio Resource Management) systems with more than one objective to maximize. Specifically focuses on simultaneously maximize the quality ...

    • 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

    • Aprenentatge aplicat al NL Texas Hold'em 

      Perapoch Amadó, Marçal (Universitat Politècnica de Catalunya, 2014-06-06)
      Projecte/Treball Final de Carrera
      Accés obert
      Aquest projecte consisteix en la construcció d'un sistema software que permeti observar el comportament i resultats d'aplicar tècniques d'Intel·ligència Artificial al domini que engloba el conegut joc de cartes: Pòquer.

    • Aprenentatge de reforç aplicat a jocs d'informació imperfecta i suma zero 

      Cristino Marcos, Víctor (Universitat Politècnica de Catalunya, 2023-06)
      Projecte Final de Màster Oficial
      Accés obert

    • Auto-scaling a video-conference platform with Reinforcement learning 

      Roy Campderrós, Francesc (Universitat Politècnica de Catalunya, 2021-10-18)
      Projecte Final de Màster Oficial
      Accés obert
      One of the capabilities that video-conferencing platforms are expected to have, as well as other distributed services, is being able to scale horizontally. This is because workload is not constant in a lot of applications, ...

    • Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing 

      Velasco Esteban, Luis Domingo; Barzegar, Sima; Sequeira, Diogo Gonçalo; Ferrari, Alessio; Costa, Nelson; Curri, Vittorio; Pedro, João; Napoli, Antonio; Ruiz Ramírez, Marc (2021-09)
      Article
      Accés obert
      The massive deployment of 5G and beyond will require high capacity and low latency connectivity services, so network operators will have either to overprovision capacity in their transport networks or to upgrade the optical ...

    • Autonomous counter-drone: is reinforcement learning the solution ? 

      Barrado Muxí, Cristina (2022)
      Text en actes de congrés
      Accés obert
      Unmanned aircraft are becoming available to most purchasers due to their decreasing costs and increasing functionalities. While this fact opens the opportunity to new business and services, it also represents a potential ...

    • Autonomous driving with CARLA 

      Martínez Martel, Enrique (Universitat Politècnica de Catalunya, 2022-07-01)
      Treball Final de Grau
      Accés obert
      La intención de esta tesis es establecer una base en el mundo de la inteligencia artificial, específicamente en CARLA, un simulador de conducción autónoma de código abierto. El objetivo principal de este trabajo es conseguir ...

    • Autonomous exploration of hierarchical scene graphs 

      Batlle Casellas, Àlex (Universitat Politècnica de Catalunya, 2023-10-20)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   Technische Universiteit Delft
      L'exploració robòtica autònoma és un camp de recerca actiu, on els mètodes de percepció robòtica hi abunden. Els mètodes basats en grafs, en particular, són una manera de representar l'entorn de forma eficient, i ofereixen ...

    • Battery and hydrogen energy storage control in a smart energy network with flexible energy demand using deep reinforcement learning 

      Samende, Cephas; Fan, Zhong; Cao, Jun; Espinoza, Renzo Fabián; Baltas, Gregory Nicholas; Rodríguez Cortés, Pedro (2023-09-22)
      Article
      Accés obert
      Smart energy networks provide an effective means to accommodate high penetrations of variable renewable energy sources like solar and wind, which are key for the deep decarbonisation of energy production. However, given ...

    • Combining long-short term memory and reinforcement learning for improved autonomous network operation 

      Tabatabaeimehr, Fatemehsadat; Barzegar, Sima; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      A combined LSTM and RL approach is proposed for dynamic connection capacity allocation. The LSTM predictor anticipates periodical long-term sharp traffic changes and extends short-term RL knowledge. Numerical results show ...

    • Comparison of multicast/broadcast services in long term evolution advanced and IEEE 802.16m networks 

      Calabuig Gaspar, Jorge; Monserrat del Río, José Francisco; Martín-Sacristán Gandía, David; Olmos Bonafé, Juan José (2012-03-21)
      Article
      Accés restringit per política de l'editorial
      This paper performs a comparison of multicast/broadcast services (MBS) support in Long Term Evolution Advanced (LTE-A) and Worldwide Interoperability for Microwave Access (WiMAX) IEEE 802.16m. Firstly, the main ...

    • Continuous-action reinforcement learning for memory allocation in virtualized servers 

      Garrido Platero, Luis Ángel; Nishtala, Rajiv; Carpenter, Paul Matthew (Springer, 2019)
      Text en actes de congrés
      Accés obert
      In a virtualized computing server (node) with multiple Virtual Machines (VMs), it is necessary to dynamically allocate memory among the VMs. In many cases, this is done only considering the memory demand of each VM without ...

    • Coordinating and controlling of distributed energy resources using reinforcement learning 

      Shahzad, Ajmal (Universitat Politècnica de Catalunya, 2023-09-19)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Technische Universiteit Delft. Faculteit Civiele Techniek en Geowetenschappen
      The distributed energy resources including solar and wind are expected to be a larger part of the future energy mix in shaping the green energy transition. Our current grid system is very old that was designed for less ...

    • Counter a drone and the performance analysis of deep reinforcement learning method and human pilot 

      Çetin, Ender; Barrado Muxí, Cristina; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Artificial Intelligence (AI) has been used in different research areas in aerospace to create an intelligent system. Especially, an unmanned aerial vehicle (UAV), known as a drone, can be controlled by AI methods such ...

    • Countering a drone in a 3D space: Analyzing deep reinforcement learning methods 

      Çetin, Ender; Barrado Muxí, Cristina; Pastor Llorens, Enric (Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-16)
      Article
      Accés obert
      Unmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can ...

    • Creation of an agent in reinforcement learning using explainability methods in a complex environment 

      Perelló Comas, Bartomeu (Universitat Politècnica de Catalunya, 2021-10-25)
      Treball Final de Grau
      Accés obert
      La inteligencia artificial es una de las áreas de la computación que se encuentra actualmente en auge, este trabajo se encuentra bajo el marco del aprendizaje por refuerzo. El aprendizaje por refuerzo se centra en la ...

    • Deep reinforcement learning as control method for autonomous UAVs 

      Kersandt, Kjell (Universitat Politècnica de Catalunya, 2018-02-06)
      Projecte Final de Màster Oficial
      Accés obert
      Deep Reinforcement Learning (DRL) is attracting increasing interest due to its ability to learn how to solve complex tasks in an unknown environment solely by gathering experience. In this thesis, we investigate the use ...