Machine Learning Seminar Thursday, 1 June, 2pm, ELG10 Jakob Foerster (University of Oxford) Title: Counterfactual Multi-Agent Policy Gradients Abstract: Cooperative multi-agent systems can be naturally used to model many real world problems, such as network packet routing or the coordination of autonomous vehicles. There is a great need for new reinforcement learning methods that can efficiently…Continue Reading ML Seminar: Thu, 1 June, 2pm, ELG10, Jakob Foerster (University of Oxford)
ML Seminar: 15 May 2017, 1pm, AG10
ML seminar Kaio Motawara When: 15 May 2017, 1pm Where: AG10 Abstract: Appropriate feature engineering, the process of combining and transforming raw features, can contribute significantly to improving the performance of a supervised learning task. Because of the combinatorial explosion of possible engineered features, very often successful feature engineering in a corporate environment requires domain…Continue Reading ML Seminar: 15 May 2017, 1pm, AG10