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The Warren Powell Conversation
He was the founder and director of CASTLE Labs, which focused on stochastic optimization with applications to energy systems, transportation, health, e-commerce, and the laboratory sciences (see www.castlelab.princeton.edu), supported by over $50 million in funding from government and industry.
He has pioneered the use of approximate dynamic programming for high-dimensional applications, and the knowledge gradient for active learning problems, work that was the foundation for his books Approximate Dynamic Programming and (with Ilya Ryzhov) Optimal Learning.
He developed a universal framework for sequential decision problems which is the basis for his latest book with Wiley: Reinforcement Learning and Stochastic Optimization: A unified framework for sequential decisions. He published over 250 papers and produced 70 graduate students and post-docs.
He is the 2021 recipient of the Robert Herman Lifetime Achievement Award from the Society for Transportation Science and Logistics, a fellow of Informs, and the recipient of numerous other awards.