Listar Ikerketa-Kongresuak por autor "Zamalloa, Maider"
Mostrando ítems 1-3 de 3
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Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
Arana-Arexolaleiba, Nestor (IEEE, 2020)The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ... -
Fear Field: Adaptive constraints for safe environment transitions in Shielded Reinforcement Learning
Odriozola Olalde, Haritz; Arana-Arexolaleiba, Nestor (CEUR-WS.org, 2023)Shielding methods for Reinforcement Learning agents show potential for safety-critical industrial applications. However, they still lack robustness on nominal safety, a key property for safety control systems. In the case ... -
Shielded Reinforcement Learning: A review of reactive methods for safe learning
Arana-Arexolaleiba, Nestor (IEEE, 2023)Reinforcement Learning (RL) algorithms are showing promising results in simulated environments, but their replication in real physical applications, even more so in safety-critical applications, is not yet guaranteed. ...