Published Papers
Self-Guided Approximate Linear Programs: Randomized Multi-Shot Approximation of Discounted Cost Markov Decision Processes.
P. Pakiman, S. Nadarajah, N. Soheili, Q. Lin.
Published in Management Science.
SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine.
A. Chenreddy, P. Pakiman, S. Nadarajah, R. Chandrasekaran, R. Abens.
Published in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019).


Under Review / Working Papers
Back to the Future: Revisiting a Pioneering Approximation of Average Cost Markov Decision Processes Using a Multi-Shot Perspective
P. Pakiman, S. Nadarajah.
Under review at Operations Research.
Dynamic Assignment of Jobs to Workers with Learning Curves.
D. Adelman, A. J. Mersereau, P. Pakiman.
In preparation for submission to Operations Research.
Self-adapting Risk Management in Dynamic Pricing with Demand Learning.
P. Pakiman, B. Chen, S. Nadarajah, S. Jasin.
In preparation for re-submission to Manufacturing & Service Operations Management.


Work In-Progress
Equitable and Data-driven Dynamic Matching.
D. Adelman, C. Keceli, P. Pakiman.
Work in progress.
Retrospective Approximate Dynamic Programming.
D. Adelman, P. Pakiman.
Work in progress.
Randomized Multi-Shot Least Squares Monte Carlo for Option Exercise.
S. Nadarajah, P. Pakiman.
Work in progress.