Carlos Esteve, Deusto CCM Code: In a previous post “Inverse Design For Hamilton-Jacobi Equations“, described all the possible initial states that agree with the given observation of the system at time on the reconstruction of the initial state in many evolution models. Our goal here is to study the inverse […]
Math Carlos Esteve
3 posts
Q-learning for finite-dimensional problems Carlos Esteve Yagüe, Deusto CCM Reinforcement Learning Reinforcement Learning (RL) is, together with Supervised Learning and Unsupervised Learning, one of the three fundamental learning paradigms in Machine Learning. The goal in RL is to enhance the manipulation of a controlled system by using data from […]
Inverse Design For Hamilton-Jacobi Equations Carlos Esteve Yagüe, Enrique Zuazua, DeustoCCM, FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg In many evolution models, the reconstruction of the initial state given an observation of the system at time represents a major challenge in mathematical modelling. Especially if it involves irreversible processes, where sometimes, different initial […]