Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro. Constrained Reinforcement Learning Has Zero Duality Gap. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 7553-7563, 2019. [doi]
@inproceedings{PaternainCCR19,
title = {Constrained Reinforcement Learning Has Zero Duality Gap},
author = {Santiago Paternain and Luiz F. O. Chamon and Miguel Calvo-Fullana and Alejandro Ribeiro},
year = {2019},
url = {http://papers.nips.cc/paper/8973-constrained-reinforcement-learning-has-zero-duality-gap},
researchr = {https://researchr.org/publication/PaternainCCR19},
cites = {0},
citedby = {0},
pages = {7553-7563},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}