机构

• 自动化研究所 [38]
• 沈阳自动化研究所 [9]
• 计算技术研究所 [2]
• 合肥物质科学研究院 [2]
• 深圳先进技术研究院 [1]
• 国家空间科学中心 [1]
• 更多

采集方式

• OAI收割 [57]

内容类型

• 期刊论文 [35]
• 会议论文 [19]
• 学位论文 [3]

发表日期

• 2024 [3]
• 2023 [8]
• 2022 [13]
• 2021 [19]
• 2020 [5]
• 2019 [5]
• 更多

学科主题

• 电子、通信与自动控制... [1]
• 计算机科学技术 [1]
• 计算机科学技术::人... [1]
• 计算机科学技术::人... [1]

筛选

浏览/检索结果: 共57条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 A bi-objective optimization model of metro trains considering energy conservation and passenger waiting time 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 437, 页码: 20 作者:  Sun, Zheng;  He, Deqiang;  He, Yan;  Shan, Sheng;  Zhou, Jixu   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07 Energy conservation  Passenger waiting time  Metro systems   Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 181-195 作者:  Xiaolin Tang;  Yuyou Yang;  Teng Liu;  Xianke Lin;  Kai Yang   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/01/02 Automatic parking  control strategy  parking deviation (APS)  soft actor-critic (SAC)   Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文  OAI收割 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：7/0  |  提交时间：2024/03/18 Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection   Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation 期刊论文  OAI收割 IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 15, 期号: 3, 页码: 388-398 作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Boyin;  Yi, Jianqiang   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/16 Cognition difference  coupling cognition network (CCN)  deep reinforcement learning (DRL)  graph convolutional network  multiagent systems (MASs)   Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China 期刊论文  OAI收割 JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2023, 页码: 9 作者:  Yao, Yao;  Zhou, Hanchu;  Cao, Zhidong;  Zeng, Daniel Dajun;  Zhang, Qingpeng   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/11/17 Covid-19  reinforcement learning  artificial intelligence  machine learning  mathematical modelling  infectious diseases   PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction 会议论文  OAI收割 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：15/0  |  提交时间：2023/07/05 Reinforcement Learning Algorithms  Transfer  Domain Adaptation  Multi-Task Learning   Curiosity-Driven and Victim-Aware Adversarial Policies 会议论文  OAI收割 Austin TX, USA, December 5-9, 2022 作者:  Gong C(龚晨);  Yang Z(杨洲);  Bai YP(白云鹏);  Shi JK(史杰克);  Sinha Arunesh   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/06/27 Position and Attitude Tracking Control of a Biomimetic Underwater Vehicle via Deep Reinforcement Learning 期刊论文  OAI收割 IEEE/ASME Transactions on Mechatronics, 2023, 页码: 1-10 作者:  Ma, Ruichen;  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Wang, Rui   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/08/03 Biomimetic underwater vehicle (BUV)  Deep reinforcement learning (DRL)  Soft actor-critic (SAC)  Undulatory fin   Sample-Observed Soft Actor-Critic Learning for Path Following of a Biomimetic Underwater Vehicle 期刊论文  OAI收割 IEEE Transactions on Automation Science and Engineering, 2023, 页码: 1-10 作者:  Ma, Ruichen;  Wang, Yu;  Wang, Shuo;  Cheng, Long;  Wang, Rui   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/08/03 Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks 期刊论文  OAI收割 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：6/0  |  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)