Listar por tema "Reinforcement learning"
Mostrando ítems 1-12 de 12
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An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning
(2021)A common problem for machine vision applications is uncontrolled illumination conditions that cause undesired artifacts on sensorial data. For instance, quality inspection using color cameras, while having wide industrial ... -
Daily temperature optimisation in greenhouse by reinforcement learning
(2005)The goal of this study is to show the usefulness of reinforcement learning (RL) to solve a common greenhouse climate optimisation problem. The problem is to minimise the daily heating cost while achieving simultaneously ... -
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
(2021)In this paper we present a deep graph reinforcement learning model to predict and improve the user experience during a live video streaming event, orchestrated by an agent/tracker. We first formulate the user experience ... -
A Deep Reinforcement Learning Motion Control Strategy of a Multi-rotor UAV for Payload Transportation with Minimum Swing
(2022)This paper addresses the problem of controlling a multirotor UAV with a cable-suspended load. In order to ensure the safe transportation of the load, the swinging motion, induced by the strongly coupled dynamics, has to ... -
Joint Wireless Resource and Computation Offloading Optimization for Energy Efficient Internet of Vehicles
(2022)The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral component of beyond-fifth-generation and sixth-generation mobile networks. However, the processing requirements and strict delay ... -
Learning the engagement of query processors for intelligent analytics
(2017)Current applications require the processing of huge amounts of data produced by applications or end users personal devices. In such settings, intelligent analytics on top of large scale data are the key research subject ... -
Machine learning applied on the district heating and cooling sector: a review
(2022)Driven by the continuous growing demand for heating and cooling, district heating and cooling systems (DHC) play a major role in the field of energy by providing environmentally friendly solutions for citizens with significant ... -
Meta-reinforcement learning via buffering graph signatures for live video streaming events
(2021)In this study, we present a meta-learning model to adapt the predictions of the network's capacity between viewers who participate in a live video streaming event. We propose the MELANIE model, where an event is formulated ... -
Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events
(2021)Nowadays, live video streaming events have become a mainstay in viewer’s communication in large international enterprises. Provided that viewers are distributed worldwide, the main challenge resides on how to schedule the ... -
Output Security for Multi-user Augmented Reality using Federated Reinforcement Learning
(2021)With the rapid advancements in Augmented Reality, the number of AR users is gradually increasing and the multiuser AR ecosystem is on the rise. Currently, AR applications usually present results without limitations, which ... -
Safe Reinforcement Learning in Simulated Environment of Self-Driving Laboratory
(2021)Today we see tremendous potential in applying artificial intelligence (AI), deep reinforcement learning, and agent-based simulation to complex real-world problems. AI helps people support and automate decision-making ... -
Sequence adaptation via reinforcement learning in recommender systems
(2021)Accounting for the fact that users have different sequential patterns, the main drawback of state-of-the-art recommendation strategies is that a fixed sequence length of user-item interactions is required as input to train ...