Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.

S. Zhang, B. Liu, Z. Wang, and T. Zhao. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Xianghui Zhang

Ning Zhang

Gang Zhang

Other publications of authors with the same name

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning.S. Zhang, L. Shen, L. Han, and L. Shen. CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 292-317. PMLR, (2023)Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations.F. Gao, L. Shi, S. Zhang, Z. Wang, and Y. Wu. ICML, OpenReview.net, (2024)Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.S. Zhang, D. Yu, H. Sharma, Z. Yang, S. Wang, H. Hassan, and Z. Wang. CoRR, (2024)One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration.Z. Liu, M. Lu, W. Xiong, H. Zhong, H. Hu, S. Zhang, S. Zheng, Z. Yang, and Z. Wang. CoRR, (2023)Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics.S. Zhang, W. Jin, and Z. Wang. ICML, volume 202 of Proceedings of Machine Learning Research, page 41219-41243. PMLR, (2023)Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning.S. Zhang. NeurIPS, (2022)Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.S. Zhang, B. Liu, Z. Wang, and T. Zhao. CoRR, (2023)Asking Before Action: Gather Information in Embodied Decision Making with Language Models.X. Chen, S. Zhang, P. Zhang, L. Zhao, and J. Chen. CoRR, (2023)Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration.Z. Liu, M. Lu, W. Xiong, H. Zhong, H. Hu, S. Zhang, S. Zheng, Z. Yang, and Z. Wang. NeurIPS, (2023)Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents.Z. Liu, H. Hu, S. Zhang, H. Guo, S. Ke, B. Liu, and Z. Wang. ICML, OpenReview.net, (2024)

BibSonomy

Disambiguation of "Zhang, Shenao"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Xianghui Zhang

Ning Zhang

Gang Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Shenao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Xianghui Zhang

Ning Zhang

Gang Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms.