Browsing by Subject "Reinforcement learning"
Now showing items 1-20 of 160
-
A collaborative statistical actor-critic learning approach for 6G network slicing control
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference lecture
Open AccessArtificial intelligence (AI)-driven zero-touch massive network slicing is envisioned to be a disruptive technology in beyond 5G (B5G)/6G, where tenancy would be extended to the final consumer in the form of advanced digital ... -
A Comparison of autonomous vehicle navigation simulators under regulatory and reinforcement learning constraints
(IOS Press, 2019)
Conference lecture
Restricted access - publisher's policyThe transition from conventional vehicles to autonomous vehicles is regulated thorough ADAS (Advanced Driver Assistance Systems) functionalities. The combination of different ADAS functions allows vehicles navigate on a ... -
A competitive strategy for function approximation in Q-learning
(2011)
Conference report
Open AccessIn 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 ... -
A Learning Approach to Solving Automatic Control Problems
(Universitat Politècnica de Catalunya, 2022-10-18)
Bachelor thesis
Restricted access - author's decisionEls problemes de control automàtic poden ser extremadament difícils de resoldre per a qualsevol algoritme no adaptatiu. El control automàtic implica l'avaluació en temps real de les respostes d'un sistema que es retroalimenta ... -
A novel framework for dynamic spectrum management in multiCell OFDMA networks based on reinforcement learning
(2010)
Conference report
Open AccessIn this work the feasibility of Reinforcement Learning (RL) for Dynamic Spectrum Management (DSM) in the context of next generation multicell Orthogonal Frequency Division Multiple Access (OFDMA) networks is studied. ... -
A reinforcement learning approach using Markov decision processes for battery energy storage control within a smart contract framework
(Elsevier, 2024-05-10)
Article
Restricted access - publisher's policyWith the increasing penetration of renewable energy sources (RESs), the necessity for employing smart methods to control and manage energy has become undeniable. This study introduces a real-time energy management system ... -
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessUnderwater target localization using range-only and single-beacon (ROSB) techniques with autonomous vehicles has been used recently to improve the limitations of more complex methods, such as long baseline and ultra-short ... -
A self-organized spectrum assignment strategy in next generation OFDMA networks providing secondary spectrum access
(2009)
Conference report
Open AccessThis paper proposes a Self-organized Spectrum Assignment strategy in the context of next generation multicell Orthogonal Frequency Division Multiple Access networks. The proposed strategy is able to dynamically find ... -
Adaptación de un videojuego para su uso como entorno de entrenamiento de agentes con capacidades de coordinación
(Universitat Politècnica de Catalunya, 2023-05-17)
Bachelor thesis
Open AccessEn este proyecto se ha realizado una búsqueda en ocho entornos que se consideraron aptos para el entrenamiento de agentes que utilicen algoritmos de aprendizaje por refuerzo en misiones de coordinación y se han analizado ... -
Adaptación del framework Minedojo para su uso en el aprendizaje por refuerzo multiagente
(Universitat Politècnica de Catalunya, 2024-01-23)
Bachelor thesis
Open AccessEn este proyecto se adaptará el framework MineDojo basado en Minecraft, un famoso videojuego de tipo sandbox que ofrece una gran cantidad de posibilidades, para poder realizar un entrenamiento multiagente mediante aprendizaje ... -
Adaptive optics control with multi-agent model-free reinforcement learning
(2022-01-14)
Article
Open AccessWe present a novel formulation of closed-loop adaptive optics (AO) control as a multi-agent reinforcement learning (MARL) problem in which the controller is able to learn a non-linear policy and does not need a priori ... -
Adaptive request scheduling for the I/O forwarding layer using reinforcement learning
(Elsevier, 2020-11)
Article
Open AccessIn this paper, we propose an approach to adapt the I/O forwarding layer of HPC systems to applications’ access patterns. I/O optimization techniques can improve performance for the access patterns they were designed to ... -
Adding agent communication in a Multi-Agent cooperative environment
(Universitat Politècnica de Catalunya, 2024-05-13)
Bachelor thesis
Open AccessEn els darrers anys, l'adopció d'algorismes basats en Intel·ligència Artificial (IA) ha augmentat ràpidament fins a arribar al punt que, a dia d'avui, podem veure com moltes aplicacions, fins i tot algunes que utilitzem ... -
Agentes inteligentes para imitar el comportamiento de los jugadores de pádel
(Universitat Politècnica de Catalunya, 2022-06-29)
Bachelor thesis
Open AccessLa idea principal del trabajo era la de generar una aplicación de pádel mediante Unity y su librería ML-agents. Por tanto, con la ayuda de la librería entrenaríamos distintos agentes para que aprendieran a jugar a pádel ... -
Aircraft-to-aircraft separation based on reinforcement learning
(Universitat Politècnica de Catalunya, 2022-09-12)
Bachelor thesis
Open AccessAir traffic has been increasing and with it the workload of air traffic controllers. Despite the pandemic, the latest figures show a rapid recovery and forecast exponential growth. This indicates the need to modernise air ... -
An application of explainability methods in reinforcement learning
(Universitat Politècnica de Catalunya, 2020-07-02)
Bachelor thesis
Open AccessLa 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 ... -
An artificial intelligence strategy for the deployment of future microservice-based applications in 6G networks
(Springer, 2024-03-28)
Article
Open AccessFuture applications to be supported by 6G networks are envisaged to be realized by loosely-coupled and independent microservices. In order to achieve an optimal deployment of applications, smart resource management strategies ... -
An efficient RAN slicing strategy for a heterogeneous network with eMBB and V2X services
(Institute of Electrical and Electronics Engineers (IEEE), 2019-03)
Article
Open AccessEmerging 5G wireless technology will support services and use cases with vastly heterogeneous requirements. Network slicing, which allows composing multiple dedicated logical networks with specific functionality running ... -
Analysis of RAN slicing for cellular V2X and mobile broadband services based on reinforcement learning
(European Alliance for Innovation n.o., 2020-03)
Article
Open AccessRadio Access Network (RAN) slicing is one of the key enablers to provide the design flexibility and enable 5G system to support heterogeneous services over a common platform (i.e., by creating a customized slice for each ... -
Applying and verifying an explainability method based on policy graphs in the context of reinforcement learning
(IOS Press, 2021)
Conference report
Open AccessThe advancement on explainability techniques is quite relevant in the field of Reinforcement Learning (RL) and its applications can be beneficial for the development of intelligent agents that are understandable by humans ...
