Tingting Zhao
Orcid: 0000-0001-5915-503XAffiliations:
- Tianjin University of Science and Technology, College of Artificial Intelligence, China
- Tokyo Institute of Technology, Japan (former)
According to our database1,
Tingting Zhao
authored at least 33 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Teaching practice of wind turbine practical training based on virtual teaching platform.
Comput. Appl. Eng. Educ., March, 2024
Learning explainable task-relevant state representation for model-free deep reinforcement learning.
Neural Networks, 2024
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
2023
Neural Comput., October, 2023
Representation learning for continuous action spaces is beneficial for efficient policy learning.
Neural Networks, February, 2023
Pattern Recognit. Lett., January, 2023
2022
Bidirectional Multi-channel Semantic Interaction Model of Labels and Texts for Text Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2022
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
A model-based reinforcement learning method based on conditional generative adversarial networks.
Pattern Recognit. Lett., 2021
Proceedings of the CCKS 2021 - Evaluation Track, 2021
2019
Multim. Tools Appl., 2019
IEEE Access, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
2018
Multim. Tools Appl., 2018
J. Vis. Commun. Image Represent., 2018
KSII Trans. Internet Inf. Syst., 2018
2017
J. Electr. Comput. Eng., 2017
Dynamic Task Scheduling Via Policy Iteration Scheduling Approach for Cloud Computing.
KSII Trans. Internet Inf. Syst., 2017
2016
Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning.
IEEE Robotics Autom. Mag., 2016
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions.
Neural Comput., 2016
2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation.
Proceedings of The 7th Asian Conference on Machine Learning, 2015
2014
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation.
Neural Networks, 2014
CoRR, 2014
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014
2013
Neural Comput., 2013
2012