Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman. Quantifying Generalization in Reinforcement Learning. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 1282-1289, PMLR, 2019. [doi]
@inproceedings{CobbeKHKS19,
title = {Quantifying Generalization in Reinforcement Learning},
author = {Karl Cobbe and Oleg Klimov and Christopher Hesse and Taehoon Kim and John Schulman},
year = {2019},
url = {http://proceedings.mlr.press/v97/cobbe19a.html},
researchr = {https://researchr.org/publication/CobbeKHKS19},
cites = {0},
citedby = {0},
pages = {1282-1289},
booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA},
editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov},
volume = {97},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}