Q-learning for finite-dimensional problems By Carlos Esteve 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 past experiments. […]
Daily Archives: November 4, 2020
2 posts
Date: Wed. November 04, 2020 Organized by: FAU DCN-AvH, Chair in Applied Analysis – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Deep Learning and Optimal Control with Fractional Operators Speaker: Prof. Dr. Harbir Antil Affiliation: George Mason University, USA Abstract. Fractional calculus and its application to anomalous diffusion […]