Dr. Asad Ata speaks at the 2020 INFORMS Annual Conference on November 13th
23 Oct 20
Dr. Ata shared his work in Alleviating the Curse Of Dimensionality by Re-Defining the State Space for A Markov Decision Process.
In the context of new product development Dr. Ata proposes a Linear Programing (LP) approach to produces a profit maximizing policy that states the likelihood the resulting Markov System is in any particular state. This will allow the managers and decision makers, the optimal use of the limited flexible capacity available while a dedicated plant is being built. Exploiting the problem-specific structure of the state space, the transition probabilities, the cost function and the action space, the constraints in the LP are represented compactly to deal with the curse of dimensionality.