Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Yunduan Cui

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Neural Networks : the Official Journal of the International Neural Network Society|July 22, 2017
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional statesYunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
IEEE Transactions on Neural Networks and Learning Systems|October 17, 2024
Practical Probabilistic Model-Based Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory SamplingWenjun Huang, Yunduan Cui, Huiyun Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 17, 2026
Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise FilteringWenjun Huang, Xinrui Yue, Yidong Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 9, 2023
Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous ActionsZhiwei Shang, Renxing Li, Chunhua Zheng, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|July 22, 2017
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional statesYunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
IEEE Transactions on Neural Networks and Learning Systems|October 17, 2024
Practical Probabilistic Model-Based Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory SamplingWenjun Huang, Yunduan Cui, Huiyun Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 17, 2026
Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise FilteringWenjun Huang, Xinrui Yue, Yidong Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 9, 2023
Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous ActionsZhiwei Shang, Renxing Li, Chunhua Zheng, et al.
Pageof 1