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	Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931 作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection
	Data-Driven Learning Control Algorithms for Unachievable Tracking Problems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218 作者: Zeyi Zhang; Hao Jiang; Dong Shen; Samer S. Saab 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/01/02 Data-driven algorithms incomplete information iterative learning control gradient information unachievable problems
	Investigation of landslide dam life span using prediction models based on multiple machine learning algorithms 期刊论文 GEOMATICS NATURAL HAZARDS & RISK, 2023, 卷号: 14, 期号: 1, 页码: 20 作者: Wu, Hao; Nian, Tingkai; Shan, Zhigang 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/02/27 Landslide dam life span prediction machine learning algorithms database landslide dam type
	Online Active Continual Learning for Robotic Lifelong Object Recognition 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15 作者: Nie, Xiangli; Deng, Zhiguang; He, Mingdong; Fan, Mingyu; Tang, Zheng 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/16 Task analysis Robots Data models Object recognition Learning systems Training Heuristic algorithms Catastrophic forgetting lifelong object recognition online active learning (OAL) online continual learning (OCL)
	Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems 期刊论文 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 12 作者: Zhang, Yong; Mu, Chaoxu; Zhao, Dongbin 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/11/16 Data models Real-time systems Heuristic algorithms Mathematical models Adaptation models Approximation algorithms Cost function Data generation model feedback relearning control delayed neural network reinforcement learning unmodeled nonlinear system
	PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction 会议论文美国华盛顿, 2023.02.07 - 2023.02.14 作者: Bai FS(白丰硕); Zhang HM(张鸿铭); Tao TY(陶天阳); Wu ZH(武志亨); Wang YN(王燕娜) 收藏 \| 浏览/下载：12/0 \| 提交时间：2023/07/05 Reinforcement Learning Algorithms Transfer Domain Adaptation Multi-Task Learning
	Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2400-2414 作者: Li, Chao; Liu, Fagui; Wang, Bin; Chen, C. L. Philip; Tang, Xuhao 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/17 Task analysis Intelligent vehicles Optimization Processor scheduling Vehicle dynamics Heuristic algorithms Costs Deep reinforcement learning (DRL) scheduling policy tracking service vehicular edge computing (VEC)
	Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model 期刊论文 IEEE ACCESS, 2023, 卷号: 11, 页码: 145085-145100 作者: Shen, Hui; Zhao, Hongxia; Zhang, Zundong; Yang, Xun; Song, Yutong 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/02/22 Games Roads Approximation algorithms Q-learning Multi-agent systems Process control Optimization Reinforcement learning Traffic control Network-wide traffic signal control hierarchical game model multi-agent reinforcement learning
	Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization 期刊论文 COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 42 作者: Gao, Juan; Liu, Xin-Wei; Dai, Yu-Hong; Huang, Yakui; Gu, Junhua 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/02/07 Distributed non-convex optimization Machine learning Momentum methods Optimization algorithms Convergence rate
	Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method 期刊论文 Ad Hoc Networks, 2022, 卷号: 136 作者: Xue, Jianbin; Wu, Qingqing; Zhang, Haijun 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/09/22 Antennas computation offloading Convex optimization Cost effectiveness Deep learning Energy utilization Learning algorithms Learning systems Markov processes Mobile edge computing Multi agent systems Power control Reinforcement learning Unmanned aerial vehicles (UAV) Aerial vehicle Computation offloading Costs Optimization Deep reinforcement learning Edge computing Multi-access edge computing Multiaccess Reinforcement learnings Unmanned aerial vehicle User equipments

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