Matthew Emigh, Evan Kriminger, José Carlos Príncipe. A model based approach to exploration of continuous-state MDPs using Divergence-to-Go. In Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen, editors, 25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015. pages 1-6, IEEE, 2015. [doi]
@inproceedings{EmighKP15-0,
title = {A model based approach to exploration of continuous-state MDPs using Divergence-to-Go},
author = {Matthew Emigh and Evan Kriminger and José Carlos Príncipe},
year = {2015},
doi = {10.1109/MLSP.2015.7324371},
url = {http://dx.doi.org/10.1109/MLSP.2015.7324371},
researchr = {https://researchr.org/publication/EmighKP15-0},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015},
editor = {Deniz Erdogmus and Murat Akçakaya and Suleyman Serdar Kozat and Jan Larsen},
publisher = {IEEE},
isbn = {978-1-4673-7454-5},
}