From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions

7 Dec 2019Warren B Powell

There are over 15 distinct communities that work in the general area of sequential decisions and information, often referred to as decisions under uncertainty or stochastic optimization. We focus on two of the most important fields: stochastic optimal control, with its roots in deterministic optimal control, and reinforcement learning, with its roots in Markov decision processes... (read more)

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