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UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者:
Jiawen Kang
;
Junlong Chen
;
Minrui Xu
;
Zehui Xiong
;
Yutao Jiao
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/01/23
Avatar
blockchain
metaverses
multi-agent deep reinforcement learning
transformer
UAVs
Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling
期刊论文
MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25
作者:
Peng, Shaoming
;
Xiong, Gang
;
Yang, Jing
;
Shen, Zhen
;
Tamir, Tariku Sinshaw
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  |  
浏览/下载:1/0
  |  
提交时间:2024/03/13
production planning and scheduling
multi-agent reinforcement learning
flexible job shop
path flexibility
technological flexibility
Memory-based Human Postural Regulation Control: An Asynchronous Semi-Markov Model Approach
期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2023, 卷号: 21, 期号: 10, 页码: 3357-3367
作者:
Ma, Chao
;
Fu, Hang
;
Wu, Wei
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/16
Asynchronous regulation
convex optimization
human postural regulation
memory-based regulation
semi-Markov jump system
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:
Lian, Zheng
;
Liu, Bin
;
Tao, Jianhua
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/15
Emotion recognition
Feature extraction
Training
Acoustics
Semisupervised learning
Benchmark testing
Hidden Markov models
Semi-supervised multi-modal interaction network (SMIN)
conversational emotion recognition
semi-supervised learning
intra-modal interaction
cross-modal interaction
A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893
作者:
Su, Shuai
;
Zhu, Qingyang
;
Liu, Junqing
;
Tang, Tao
;
Wei, Qinglai
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  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
Deep reinforcement learning (RL)
driving strategy
energy-efficient train control (EETC)
soft actorcritic (SAC)
Change detection and update of 3D sparse map by merging geometry and appearance
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 119, 页码: 9
作者:
Ma, Wenjuan
;
Song, Zhuo
;
He, Ying
;
Shen, Shuhan
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  |  
浏览/下载:0/0
  |  
提交时间:2023/11/16
Change detection
3D map update
3D sparse map
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving
期刊论文
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
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  |  
浏览/下载:2/0
  |  
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
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)
Lyapunov-Based Output Containment Control of Heterogeneous Multi-Agent Systems With Markovian Switching Topologies and Distributed Delays
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1421-1433
作者:
Haihua Guo
;
Min Meng
;
Gang Feng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/05/29
Heterogeneous multi-agent systems
Lyapunov method
Markovian switching topologies
output containment control
time delays
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:
Wei, Qinglai
;
Yan, Yutian
;
Zhang, Jie
;
Xiao, Jun
;
Wang, Cong
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/01/09
Automated guided vehicle (AGV) dispatching
deep learning
reinforcement learning (RL)
self-attention
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