You are all cordially invited to the AMLab seminar on Tuesday October 31 at 16:00 in C3.163, where Elise van der Pol will give a talk titled “Graph-based Sequential Decision Making Under Uncertainty”. Afterwards there are the usual drinks and snacks!
Abstract: In sequential decision making under uncertainty, an agent attempts to find some function that maps from states to actions, such that a reward signal is maximized, taking both immediate and future reward into account. Under the graph-based perspective, we view the problem of optimal sequential decision making as doing inference in a graphical model.
In this talk I will present some of the research related to this perspective and connect it to recent work in Deep Learning such as Value Iteration Networks and Graph Convolutional Networks.