Event
M.S. Thesis Defense: Keith McCready
Monday, November 25, 2013
4:00 p.m.
AVW 2328
Maria Hoo
301 405 3681
mch@umd.edu
ANNOUNCEMENT: M.S. Thesis Defense
Name: Keith McCready
Committee:
Professor Gilmer Blankenship
Professor Nuno Martins
Professor William Levine
Date/Time: Monday, November 25, 2013 at 4pm - 6pm
Location: AVW 2328
Title: RESOURCE-BASED SPIKE MITIGATION STOCHASTIC CONTROL PROBLEMS
Abstract: Resource-based spike mitigation stochastic control problems are a class of stochastic control problems, akin to inventory control problems or linear quadratic regulator (LQR) problems. These problems involve consuming a resource to mitigate large, fast losses to a primary state (spikes). These properties, included with stochastic elements, draw out a unique behavior where optimal control policies conserve resources during lucky streaks and spend the resources during unlucky streaks.However, these problems often have too many time steps and states to compute an optimal control policy with dynamic programming. This thesis gives examples of such problems and demonstrates how to effectively approximate solutions using suboptimal control methods.