AAAI 2023technical0 citations
A New Challenge in Policy Evaluation
Abstract
This paper proposes a new challenge in policy evaluation: to improve the online data efficiency of Monte Carlo methods via information extracted from offline data while maintaining the unbiasedness of Monte Carlo methods.
BibTeX
@article{Zhang_2024, title={A New Challenge in Policy Evaluation}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/26832}, DOI={10.1609/aaai.v37i13.26832}, abstractNote={This paper proposes a new challenge in policy evaluation: to improve the online data efficiency of Monte Carlo methods via information extracted from offline data while maintaining the unbiasedness of Monte Carlo methods.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Zhang, Shangtong}, year={2024}, month={Jul.}, pages={15465-15465} }