In-sample Actor Critic for Offline Reinforcement Learning

Hongchang Zhang, Yongyi Mao, Boyuan Wang, Shuncheng He, Yi Xu +1 more
2/12/2026

No official code found. Best implementation: Fang-Lin93/DAC (33 stars, GPL-3.0, last commit 2024-06-03).

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Code Implementations(1)

Fang-Lin93/DACCommunity100%
GPL-3.0

DAC: Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.

334Shell, PythonMay 19, 20242 years agoGPL-3.0

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Cite this paper

@article{zhang2026insample,
  title  = {In-sample Actor Critic for Offline Reinforcement Learning},
  author = {Hongchang Zhang and Yongyi Mao and Boyuan Wang and Shuncheng He and Yi Xu and Xiangyang Ji},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:00941d55a15602be3db4826c2117b3475adc79bc},
  journal = {ICLR 2023 2023}
}

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