L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning - researchr publication authors

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Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu. L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. In Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong, editors, CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. pages 1284-1293, ACM, 2021. [doi]

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