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The Warren Powell Conversation
Warren B. Powell is Professor Emeritus at Princeton University, where he taught for 39 years, and is currently the Chief Analytics Officer at Optimal Dynamics.
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.