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Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
Feb. 23, 2024, 5:43 a.m. | Christina Schenk, Aditya Vasudevan, Maciej Haranczyk, Ignacio Romero
cs.LG updates on arXiv.org arxiv.org
Abstract: Mathematical and computational tools have proven to be reliable in decision-making processes. In recent times, in particular, machine learning-based methods are becoming increasingly popular as advanced support tools. When dealing with control problems, reinforcement learning has been applied to decision-making in several applications, most notably in games. The success of these methods in finding solutions to complex problems motivates the exploration of new areas where they can be employed to overcome current difficulties. In this …
abstract advanced applications arxiv computational control cs.lg cs.sy decision diffusion eess.sy games machine machine learning making math.ds math.mp math.oc math-ph popular processes reinforcement reinforcement learning support tools type
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