机构

• 自动化研究所 [9]
• 沈阳自动化研究所 [2]

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [9]
• 会议论文 [2]

发表日期

• 2023 [2]
• 2022 [4]
• 2021 [3]
• 2019 [2]

学科主题

筛选

浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Enhancing Short Track Speed Skating Performance through Improved DDQN Tactical Decision Model 期刊论文  OAI收割 SENSORS, 2023, 卷号: 23, 期号: 24, 页码: 12 作者:  Yang, Yuanbo;  Li, Feimo;  Chang, Hongxing   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/02/22 short track speed skating  deep reinforcement learning  decision-making method  deep Q-network  competition performance improvement   Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831 作者:  Lu, Jingwei;  Han, Liyuan;  Wei, Qinglai;  Wang, Xiao;  Dai, Xingyuan   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/11/17 Autonomous vehicles  Decision making  Path planning  Training  Optimal control  Deep learning  Complex systems  Autonomous driving  deep reinforcement learning  deep Q-network  event-triggered control  parallel control   Picking out the Impurities: Attention-based Push-Grasping in Dense Clutter 期刊论文  OAI收割 ROBOTICA, 2022, 页码: 16 作者:  Lu, Ning;  Cai, Yinghao;  Lu, Tao;  Cao, Xiaoge;  Guo, Weiyan   |  收藏  |  浏览/下载：49/0  |  提交时间：2022/06/10 saliency Detection  robot Learning  push-grasp  target-oriented Grasping  deep Q Network   Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241 作者:  Zhu, Yuanheng;  Zhao, Dongbin   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/06/10 Games  Nash equilibrium  Mathematical model  Markov processes  Convergence  Dynamic programming  Training  Deep reinforcement learning (DRL)  generalized policy iteration (GPI)  Markov game (MG)  Nash equilibrium  Q network  zero sum   Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 135-145 作者:  Yuxiang Yang;  Zhihao Ni;  Mingyu Gao;  Jing Zhang;  Dacheng Tao   |  收藏  |  浏览/下载：63/0  |  提交时间：2021/11/03 Convolutional neural network  deep Q-learning (DQN)  reward function  robotic grasping  robotic pushing   Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 127-137 作者:  Emanuele De Santis;  Alessandro Giuseppi;  Antonio Pietrabissa;  Michael Capponi;  Francesco Delli Priscoli   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23 Network selection  HetNet  deep reinforcement learning  deep-Q-network (DQN)  5G communications   Learning Control for Air Conditioning Systems via Human Expressions 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7662-7671 作者:  Wei, Qinglai;  Li, Tao;  Liu, Derong   |  收藏  |  浏览/下载：55/0  |  提交时间：2021/06/15 Adaptive dynamic programming  air conditioning control  deep learning (DL)  deep Q-network (DQN)  human expressions  optimal control  reinforcement learning (RL)  Q-learning   Real-time path planning and following of a gliding robotic dolphin within a hierarchical framework 期刊论文  OAI收割 IEEE Transactions on Vehicular Technology, 2021, 卷号: 70, 期号: 4, 页码: 3243-3255 作者:  Wang Jian(王健);  Wu Zhengxing;  Yan Shuaizheng;  Tan Min;  Yu Junzhi   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/06/04 Adaptive backstepping  hierarchical deep q-network  path following  path planning  underwater robot   Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning 会议论文  OAI收割 Chongqing, China, March 12-14, 2021 作者:  Yang SL(杨圣落);  Xu ZG(徐志刚)   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/05/10 dynamic scheduling  deep reinforcement learning  PFSP  deep Q network (DQN)  intelligent scheduling  dynamic job arrival   Lane change decision-making through deep reinforcement learning with rule-based constraints 会议论文  OAI收割 Budapest, Hungary, 2019-7 作者:  Wang JJ(王俊杰);  Zhang QC(张启超);  Zhao DB(赵冬斌);  Chen YR(陈亚冉)   |  收藏  |  浏览/下载：3/0  |  提交时间：2023/05/30 Lane Change  Decision-making  Deep Reinforcement Learning  Deep Q-Network