机构

• 自动化研究所 [13]
• 地理科学与资源研究所 [2]
• 计算技术研究所 [2]
• 光电技术研究所 [1]
• 武汉岩土力学研究所 [1]
• 沈阳自动化研究所 [1]
• 更多

采集方式

• OAI收割 [21]

内容类型

• 期刊论文 [18]
• 会议论文 [3]

发表日期

• 2024 [3]
• 2023 [4]
• 2022 [3]
• 2021 [1]
• 2020 [5]
• 2019 [2]
• 更多

学科主题

• Autonomous... [1]

筛选

浏览/检索结果: 共21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 Consensus-Agent Deep Reinforcement Learning for Face Aging 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1795-1809 作者:  Lin, Ling;  Liu, Hao;  Liang, Jinqiao;  Li, Zhendong;  Feng, Jiao   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/05/20 Face aging  deep reinforcement learning  Markov decision process   Safe Motion Planning for Autonomous Vehicles by Quantifying Uncertainties of Deep Learning-Enabled Environment Perception 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 2318-2332 作者:  Li, Dachuan;  Liu, Bowen;  Huang, Zijian;  Hao, Qi;  Zhao, Dezong   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/07/22 Uncertainty  Planning  Three-dimensional displays  Decision making  Detectors  Trajectory  Probabilistic logic  Autonomous driving  motion planning  object detection  Bayesian deep learning  uncertainty quantification   Probabilistic Automata-Based Method for Enhancing Performance of Deep Reinforcement Learning Systems 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 11, 页码: 2327-2339 作者:  Min Yang;  Guanjun Liu;  Ziyuan Zhou;  Jiacun Wang   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/10/09 Deep reinforcement learning (DRL)  performance improvement framework  probabilistic automata  real-time monitoring  the key probabilistic decision-making units (PDMU)-action pair   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：15/0  |  提交时间：2024/02/22 short track speed skating  deep reinforcement learning  decision-making method  deep Q-network  competition performance improvement   BoAu: Malicious traffic detection with noise labels based on boundary augmentation 期刊论文  OAI收割 COMPUTERS & SECURITY, 2023, 卷号: 131, 页码: 13 作者:  Yuan, Qingjun;  Liu, Chang;  Yu, Wentao;  Zhu, Yuefei;  Xiong, Gang   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/12/04 Malicious traffic detection  Deep learning  Learning with noise labels  Decision boundaries  Encrypted traffic   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：14/0  |  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   AI in Human-computer Gaming: Techniques, Challenges and Opportunities 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 299-317 作者:  Qi-Yue Yin;  Jun Yang;  Kai-Qi Huang;  Mei-Jing Zhao;  Wan-Cheng Ni   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/23 Human-computer gaming, AI, intelligent decision making, deep reinforcement learning, self-play   Policy decision of curling in real competition scenes 期刊论文  OAI收割 COMPLEX & INTELLIGENT SYSTEMS, 2022, 页码: 12 作者:  Xiao, Qian;  Li, Zongmin;  Wang, Xiangdong;  Liu, Yujie;  Li, Yachuan   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/02/22 Reinforcement learning  Curling policy decision  Game tree search  Deep learning   Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文  OAI收割 CANCER, 2022, 页码: 11 作者:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/03/20 breast cancer  deep learning  lymph node metastasis  neoadjuvant chemotherapy  pathologic complete response  treatment decision  ultrasonography   Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文  OAI收割 CANCER, 2022 作者:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu   |  收藏  |  浏览/下载：43/0  |  提交时间：2022/12/23 breast cancer  deep learning  lymph node metastasis  neoadjuvant chemotherapy  pathologic complete response  treatment decision  ultrasonography