Deep Reinforcement Learning for Optimization at Early Design Stages

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Abstract

Deep reinforcement learning is shown to improve the design cost of hardware char63software interfaces within an industrial design framework. Based on optimization preferences specified by a designer, the proposed approach generates optimized solutions.

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Servadei, L., Lee, J. H., Medina, J. A. A., Werner, M., Hochreiter, S., Ecker, W., & Wille, R. (2023). Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Design and Test, 40(1), 43–51. https://doi.org/10.1109/MDAT.2022.3145344

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