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IEEE Transactions on Neural Networks and Learning Systems|February 11, 2021
Lifelong Incremental Reinforcement Learning With Online Bayesian InferenceZhi Wang, Chunlin Chen, Daoyi Dong
IEEE Transactions on Cybernetics|May 17, 2022
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement LearningZhi Wang, Chunlin Chen, Daoyi Dong
IEEE Transactions on Neural Networks and Learning Systems|March 29, 2022
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic EnvironmentsZhi Wang, Chunlin Chen, Daoyi Dong
IEEE Transactions on Neural Networks and Learning Systems|June 13, 2023
Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement LearningJinmei Liu, Zhi Wang, Chunlin Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 4, 2023
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field ApproximationDonghan Xie, Zhi Wang, Chunlin Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 18, 2018
Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement LearningZhipeng Ren, Daoyi Dong, Huaxiong Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 8, 2023
Hamiltonian Identification via Quantum Ensemble ClassificationHaixu Yu, Xudong Zhao, Daoyi Dong, et al.
IEEE Transactions on Cybernetics|October 6, 2016
Robust Learning Control Design for Quantum Unitary TransformationsChengzhi Wu, Bo Qi, Chunlin Chen, et al.
IEEE Transactions on Cybernetics|February 18, 2021
Deep Reinforcement Learning With Quantum-Inspired Experience ReplayQing Wei, Hailan Ma, Chunlin Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 9, 2022
Curriculum-Based Deep Reinforcement Learning for Quantum ControlHailan Ma, Daoyi Dong, Steven X Ding, et al.
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