Agazzi, Andrea, and Lu, Jianfeng. GLOBAL OPTIMALITY OF SOFTMAX POLICY GRADIENT WITH SINGLE HIDDEN LAYER NEURAL NETWORKS IN THE MEAN-FIELD REGIME. Retrieved from https://par.nsf.gov/biblio/10228613. International Conference on Learning Representations (ICLR 2021) .
Agazzi, Andrea, & Lu, Jianfeng. GLOBAL OPTIMALITY OF SOFTMAX POLICY GRADIENT WITH SINGLE HIDDEN LAYER NEURAL NETWORKS IN THE MEAN-FIELD REGIME. International Conference on Learning Representations (ICLR 2021), (). Retrieved from https://par.nsf.gov/biblio/10228613.
Agazzi, Andrea, and Lu, Jianfeng.
"GLOBAL OPTIMALITY OF SOFTMAX POLICY GRADIENT WITH SINGLE HIDDEN LAYER NEURAL NETWORKS IN THE MEAN-FIELD REGIME". International Conference on Learning Representations (ICLR 2021) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10228613.
@article{osti_10228613,
place = {Country unknown/Code not available},
title = {GLOBAL OPTIMALITY OF SOFTMAX POLICY GRADIENT WITH SINGLE HIDDEN LAYER NEURAL NETWORKS IN THE MEAN-FIELD REGIME},
url = {https://par.nsf.gov/biblio/10228613},
abstractNote = {},
journal = {International Conference on Learning Representations (ICLR 2021)},
author = {Agazzi, Andrea and Lu, Jianfeng},
editor = {null}
}
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