Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming

Markov Decision Processes: Discrete Stochastic Dynamic Programming.

Kasra Hazeghi, Martin L. Puterman · Journal of the American Statistical Association · 1995 · 8.5K citations

Business, Decision Sciences, Mathematics +14

Optimization under uncertainty: state-of-the-art and opportunities

Nikolaos V. Sahinidis · Computers & Chemical Engineering · 2003 · 1.2K citations

Natural Sciences, Decision Sciences, Mathematics +10

Linear Least-Squares algorithms for temporal difference learning

Steven J. Bradtke, Andrew G. Barto · Machine Learning · 1996 · 639 citations · Full text

Computing, Computer Science, Mathematics +8

Enterprise‐wide optimization: A new frontier in process systems engineering

Ignacio E. Grossmann · AIChE Journal · 2005 · 516 citations

Engineering, Chemical Engineering, Supply Chain Management +11

Integration of production planning and scheduling: Overview, challenges and opportunities

Christos T. Maravelias, Charles Sung · Computers & Chemical Engineering · 2009 · 376 citations

Management, Industrial Engineering, Operations Management +12