Jinglin Chen, Nan Jiang 0008. Offline reinforcement learning under value and density-ratio realizability: The power of gaps. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 378-388, PMLR, 2022. [doi]
@inproceedings{Chen022-2,
title = {Offline reinforcement learning under value and density-ratio realizability: The power of gaps},
author = {Jinglin Chen and Nan Jiang 0008},
year = {2022},
url = {https://proceedings.mlr.press/v180/chen22g.html},
researchr = {https://researchr.org/publication/Chen022-2},
cites = {0},
citedby = {0},
pages = {378-388},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
editor = {James Cussens and Kun Zhang 0001},
volume = {180},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}