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IEEE Transactions on Cybernetics
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September 3, 2021
A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning
Zhiyou Yang, Hong Qu, Mingsheng Fu, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
December 18, 2024
A fully value distributional deep reinforcement learning framework for multi-agent cooperation
Mingsheng Fu, Liwei Huang, Fan Li, et al.
IEEE Transactions on Cybernetics
|
July 12, 2018
A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System
Mingsheng Fu, Hong Qu, Zhang Yi, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
February 11, 2025
Incremental model-based reinforcement learning with model constraint
Zhiyou Yang, Mingsheng Fu, Hong Qu, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 16, 2024
Q-ADER: An Effective Q-Learning for Recommendation With Diminishing Action Space
Fan Li, Hong Qu, Liyan Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
September 19, 2022
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning
Liwei Huang, Mingsheng Fu, Ananya Rao, et al.
IEEE Transactions on Cybernetics
|
August 16, 2021
Deep Reinforcement Learning Framework for Category-Based Item Recommendation
Mingsheng Fu, Anubha Agrawal, Athirai A Irissappane, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
October 28, 2022
Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization
Fan Li, Mingsheng Fu, Wenyu Chen, et al.
Journal of Immunology Research
|
July 1, 2021
miR-504 Promoted Gastric Cancer Cell Proliferation and Inhibited Cell Apoptosis by Targeting RBM4
Yi Zhang, Hongmei Yong, Jing Fu, et al.
IEEE Transactions on Cybernetics
|
December 23, 2025
Dual-Policy Fusion for Multitask Multiagent Reinforcement Learning
Yandong Chen, Wei Cheng, Naizhuo Zeng, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Cybernetics
|
September 3, 2021
A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning
Zhiyou Yang, Hong Qu, Mingsheng Fu, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
December 18, 2024
A fully value distributional deep reinforcement learning framework for multi-agent cooperation
Mingsheng Fu, Liwei Huang, Fan Li, et al.
IEEE Transactions on Cybernetics
|
July 12, 2018
A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System
Mingsheng Fu, Hong Qu, Zhang Yi, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
February 11, 2025
Incremental model-based reinforcement learning with model constraint
Zhiyou Yang, Mingsheng Fu, Hong Qu, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 16, 2024
Q-ADER: An Effective Q-Learning for Recommendation With Diminishing Action Space
Fan Li, Hong Qu, Liyan Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
September 19, 2022
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning
Liwei Huang, Mingsheng Fu, Ananya Rao, et al.
IEEE Transactions on Cybernetics
|
August 16, 2021
Deep Reinforcement Learning Framework for Category-Based Item Recommendation
Mingsheng Fu, Anubha Agrawal, Athirai A Irissappane, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
October 28, 2022
Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization
Fan Li, Mingsheng Fu, Wenyu Chen, et al.
Journal of Immunology Research
|
July 1, 2021
miR-504 Promoted Gastric Cancer Cell Proliferation and Inhibited Cell Apoptosis by Targeting RBM4
Yi Zhang, Hongmei Yong, Jing Fu, et al.
IEEE Transactions on Cybernetics
|
December 23, 2025
Dual-Policy Fusion for Multitask Multiagent Reinforcement Learning
Yandong Chen, Wei Cheng, Naizhuo Zeng, et al.
Page
of 2