Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan 0001, Andrzej S. Cichocki, Ivan V. Oseledets. TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]
@inproceedings{SozykinCS0CO22,
title = {TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning},
author = {Konstantin Sozykin and Andrei Chertkov and Roman Schutski and Anh Huy Phan 0001 and Andrzej S. Cichocki and Ivan V. Oseledets},
year = {2022},
url = {http://papers.nips.cc/paper_files/paper/2022/hash/a730abbcd6cf4a371ca9545db5922442-Abstract-Conference.html},
researchr = {https://researchr.org/publication/SozykinCS0CO22},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
isbn = {9781713871088},
}