TOWARDS HUMAN-CENTRIC AI: INVERSE REINFORCEMENT LEARNING MEETS ALGORITHMIC FAIRNESS
Ph.D
Saved in:
主要作者: | SREEJITH BALAKRISHNAN |
---|---|
其他作者: | COMPUTATIONAL SCIENCE |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://scholarbank.nus.edu.sg/handle/10635/244765 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | National University of Singapore |
語言: | English |
相似書籍
-
SCALES: From Fairness Principles to Constrained Decision-Making
由: Balakrishnan, Sreejith, et al.
出版: (2022) -
A differential dynamic programming framework for inverse reinforcement learning
由: Cao, Kun, et al.
出版: (2025) -
Difference of convex functions programming for policy optimization in reinforcement learning
由: KUMAR, Akshat
出版: (2024) -
Privacy-preserving reinforcement learning design for patient-centric dynamic treatment regimes
由: LIU, Ximeng, et al.
出版: (2019) -
AN ALTERNATIVE INFORMATION-THEORETIC CRITERION FOR ACTIVE LEARNING
由: NGUYEN QUOC PHONG
出版: (2018)