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Google Scholar
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arXiv
Papers are listed below by year of submission before they are published, or year of publication.
2025
- Disciplined biconvex programming
H. Zhu and J. Boedecker
- Fitting reinforcement learning model to behavioral data under bandits
H. Zhu, J. Hoffmann, B. Zhang, and J. Boedecker
- Constrained reinforcement learning with smoothed log barrier function
B. Zhang, Y. Zhang, H. Zhu, S. Yan, T. Brox, and J. Boedecker
- Multi-convex programming for discrete latent factor models prototyping
H. Zhu, S. Yan, J. Hoffmann, and J. Boedecker
- Sleep resolves competition between explicit and implicit memory systems
K. Kleespies, P. Paulus, H. Zhu, F. Pargent, M. Jakob, J. Werle, M. Czisch, J. Boedecker, S. Gais, and M. Schoenauer
- Solving inverse problem for multi-armed bandits via convex optimization
H. Zhu and J. Boedecker
2024
- Inverse reinforcement learning via convex optimization
H. Zhu, Y. Zhang, and J. Boedecker
- Inverse reinforcement learning in animal behavior characterization
J. Boedecker and H. Zhu
2023
- Multi-intention inverse Q-learning for interpretable behavior representation
H. Zhu, B. De La Crompe, G. Kalweit, A. Schneider, M. Kalweit, I. Diester, and J. Boedecker
- Inverse Q-learning as a tool to investigate behavior and its neural correlates
J. Boedecker and H. Zhu
2021
- The hydrogen bonding network involved Arg59 in human protoporphyrinogen IX oxidase is essential for enzyme activity
B. Wang, Z. Zhang, H. Zhu, C. Niu, X. Wen and Z. Xi
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