Shakir Mohamed, Danilo Jimenez Rezende. Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning. In Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett, editors, Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. pages 2125-2133, 2015. [doi]
@inproceedings{MohamedR15,
title = {Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning},
author = {Shakir Mohamed and Danilo Jimenez Rezende},
year = {2015},
url = {http://papers.nips.cc/paper/5668-variational-information-maximisation-for-intrinsically-motivated-reinforcement-learning},
researchr = {https://researchr.org/publication/MohamedR15},
cites = {0},
citedby = {0},
pages = {2125-2133},
booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada},
editor = {Corinna Cortes and Neil D. Lawrence and Daniel D. Lee and Masashi Sugiyama and Roman Garnett},
}