L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.

@inproceedings{mills-2021-l2nas, author = {Keith G. Mills and Fred X. Han and Mohammad Salameh and Seyed Saeed Changiz Rezaei and Linglong Kong and Wei Lu and Shuo Lian and Shangling Jui and Di Niu}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {1284--1293}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482360}, doi = {https://doi.org/10.1145/3459637.3482360} }