机构

• 自动化研究所 [12]
• 计算技术研究所 [5]
• 重庆绿色智能技术研究... [1]

采集方式

• OAI收割 [18]

内容类型

• 期刊论文 [16]
• 学位论文 [1]
• 期刊 [1]

发表日期

• 2025 [1]
• 2024 [4]
• 2023 [2]
• 2022 [5]
• 2021 [3]
• 2020 [3]
• 更多

学科主题

筛选

浏览/检索结果: 共18条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序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 Learning to schedule dynamic job-shop problems by graph attention network with reinforcement learning 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2025, 卷号: 55, 期号: 16, 页码: 16 作者:  Huang, Chao;  Hu, Haibo;  Zhou, Yan   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/12/03 Job shop scheduling  Reinforcement learning  Graph attention network   A reinforcement learning-based optimization method for task allocation of agricultural multi-robots clusters 期刊论文  OAI收割 COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 120, 页码: 15 作者:  Lu, Zaiwang;  Wang, Yancong;  Dai, Feng;  Ma, Yike;  Long, Long   |  收藏  |  浏览/下载：54/0  |  提交时间：2024/12/06 Graph neural network  Multi-robot systems  Agricultural task allocation  Multiple traveling salesmen problem  Reinforcement learning   Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13 作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Xiong, Gang   |  收藏  |  浏览/下载：51/0  |  提交时间：2024/07/03 Mobility-on-demand system  vehicle repositioning  hierarchical graph reinforcement learning  auxiliary graph reinforcement learning   Graph Reinforcement Learning for Multi-Aircraft Conflict Resolution 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4529-4540 作者:  Li, Yumeng;  Zhang, Yunhe;  Guo, Tong;  Liu, Yu;  Lv, Yisheng   |  收藏  |  浏览/下载：102/0  |  提交时间：2024/07/03 Aircraft  Air traffic control  Decision making  Atmospheric modeling  Intelligent vehicles  Scalability  Reinforcement learning  Conflict resolution  graph reinforcement learning  air traffic management   Learning Hierarchical Modular Networks for Video Captioning 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 2, 页码: 1049-1064 作者:  Li, Guorong   |  收藏  |  浏览/下载：53/0  |  提交时间：2024/05/20 Video captioning  hierarchical modular network  scene-graph reward  reinforcement learning   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：46/0  |  提交时间：2023/11/16 Cognition difference  coupling cognition network (CCN)  deep reinforcement learning (DRL)  graph convolutional network  multiagent systems (MASs)   基于深度强化学习的网约车调度算法研究 学位论文  OAI收割 2023 作者:  习金浩   |  收藏  |  浏览/下载：213/0  |  提交时间：2023/06/08 Vehicle Repositioning  Deep Reinforcement Learning  Hierarchical Reinforcement Learning  Graph Neural Network   Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10 作者:  Du, Wei;  Ding, Shifei;  Zhang, Chenglong;  Shi, Zhongzhi   |  收藏  |  浏览/下载：54/0  |  提交时间：2023/07/12 Reinforcement learning  Multi-agent systems  Aggregates  Task analysis  Scalability  Marine vehicles  Learning systems  Graph attention network  heterogeneous agents  multiagent reinforcement learning (MARL)  relationship-level attention   Markovian Policy Network for Efficient Robot Learning 期刊  OAI收割 创刊日期: 2022, 作者:  Zhang FY(张丰一), Yurou Chen, Zhiyong Liu   |  收藏  |  浏览/下载：71/0  |  提交时间：2023/01/12 Efficient robot learning  Structural prior knowledge  Reinforcement learning  Graph neural network   VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14 作者:  Wei, Qinglai;  Li, Yugu;  Zhang, Jie;  Wang, Fei-Yue   |  收藏  |  浏览/下载：76/0  |  提交时间：2022/07/25 Mathematical models  Task analysis  Games  Q-learning  Neural networks  Behavioral sciences  Training  Deep learning  graph attention networks (GATs)  multiagent systems  reinforcement learning