Print Email Facebook Twitter Planning under Uncertainty in Constrained and Partially Observable Environments Title Planning under Uncertainty in Constrained and Partially Observable Environments Author Walraven, E.M.P. (TU Delft Algorithmics) Contributor Spaan, M.T.J. (promotor) Witteveen, C. (promotor) Degree granting institution Delft University of Technology Date 2019-05-27 Abstract Developing intelligent decision making systems in the real world requires planning algorithms which are able to deal with sources of uncertainty and constraints. An example can be found in smart distribution grids, in which planning can be used to decide when electric vehicles charge their batteries, such that the capacity limits of lines are respected at all times. In this particular example there can be uncertainty in the arrival time and charging demand of vehicles, and constraints follow directly from the capacity limits of the distribution grid to which vehicles are connected. Existing algorithms for planning under uncertainty subject to constraints are currently not suitable for these types of applications, and therefore this dissertation aims improve the applicability of these algorithms by advancing the state of the art in constrained multi-agent planning under uncertainty. The dissertation presents new algorithmic techniques for exact POMDP planning, finite-horizon POMDPs and POMDPs with constraints. Additionally, the dissertation shows how models for constrained planning can be used in smart distribution grids. Subject planning under uncertaintysmart gridsmarkov decision processpartially observable markov decision process To reference this document use: https://doi.org/10.4233/uuid:ea79ba64-262f-4696-abda-f7d143b97bc9 ISBN 978-94-6384-034-7 Embargo date 2019-05-27 Part of collection Institutional Repository Document type doctoral thesis Rights © 2019 E.M.P. Walraven Files PDF dissertation_erwin_walraven.pdf 5.14 MB Close viewer /islandora/object/uuid:ea79ba64-262f-4696-abda-f7d143b97bc9/datastream/OBJ/view