Shi, C., Xiong, W., Shen, C., and Yang, J. Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. Retrieved from https://par.nsf.gov/biblio/10450277. International Conference on Machine Learning .
Shi, C., Xiong, W., Shen, C., & Yang, J. Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. International Conference on Machine Learning, (). Retrieved from https://par.nsf.gov/biblio/10450277.
Shi, C., Xiong, W., Shen, C., and Yang, J.
"Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources". International Conference on Machine Learning (). Country unknown/Code not available. https://par.nsf.gov/biblio/10450277.
@article{osti_10450277,
place = {Country unknown/Code not available},
title = {Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources},
url = {https://par.nsf.gov/biblio/10450277},
abstractNote = {},
journal = {International Conference on Machine Learning},
author = {Shi, C. and Xiong, W. and Shen, C. and Yang, J.},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.