A New Challenge in Policy Evaluation

Authors

  • Shangtong Zhang University of Virginia

DOI:

https://doi.org/10.1609/aaai.v37i13.26832

Keywords:

New Faculty Highlights

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.
AAAI-23 Proceedings Cover

Downloads

Published

2024-07-15

How to Cite

Zhang, S. (2024). A New Challenge in Policy Evaluation. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 15465-15465. https://doi.org/10.1609/aaai.v37i13.26832

Issue

Vol. 37 No. 13: AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations

Section

New Faculty Highlights