JASA

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy

Authors
Runze Li Zhaoran Wang Zhuoran Yang Han Zhong Xun Deng Ethan X. Fang
Research Topics
Machine Learning
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Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2025.2583501
  • Added to Tracker:
    Nov 15, 2025
Author Details
Runze Li
Author
Zhaoran Wang
Author
Zhuoran Yang
Author
Han Zhong
Author
Xun Deng
Author
Ethan X. Fang
Author
Research Topics & Keywords
Machine Learning
Research Area
Citation Information
APA Format
Runze Li , Zhaoran Wang , Zhuoran Yang , Han Zhong , Xun Deng & Ethan X. Fang . Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. Journal of the American Statistical Association , 10.1080/01621459.2025.2583501.
BibTeX Format
@article{paper580,
  title = { Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy },
  author = { Runze Li and Zhaoran Wang and Zhuoran Yang and Han Zhong and Xun Deng and Ethan X. Fang },
  journal = { Journal of the American Statistical Association },
  doi = { 10.1080/01621459.2025.2583501 },
  url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2583501 }
}
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