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Google Scholar
Semantic Scholar
arXiv
Papers are listed below by year of submission before they are published, or year of publication.
2026
- Probabilistic recurrent intention switching model
W. Sheng, H. Zhu, and J. Boedecker
- Spectral alignment in forward–backward representations via temporal abstraction
S. M. B. Azad, J. Hoffmann, I. Nematollahi, H. Zhu, A. Valada, and J. Boedecker
- Fitting reinforcement learning model to behavioral data under bandits
H. Zhu, J. Hoffmann, B. Zhang, and J. Boedecker
- Mechanisms of premotor-motor cortex interactions during movement initiation
M. Alyahyay, J. J. Ammer, G. Kalweit, H. Zhu, A. Adzemovic, M. Kalweit, G. Karvat, A. Schneider, Y. Tong, M. D. Doebroessy, Z. Jaeckel, C. Akmese, A. Vlachos, J. Boedecker, and I. Diester
2025
- Disciplined biconvex programming
H. Zhu 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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