Event-Triggered Deep Reinforcement Learning for Dynamic Task Scheduling in Multisatellite Resource Allocation
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Event-Triggered Deep Reinforcement Learning for Dynamic Task Scheduling in Multisatellite Resource Allocation
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume 59, Issue 4, Pages 3766-3777
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-12-24
DOI
10.1109/taes.2022.3231239
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Stabilization of Markovian Jump Boolean Control Networks via Event Triggered Control
- (2022) Bingquan Chen et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Distributed dynamic event-triggered and practical predefined-time resource allocation in cyber–physical systems
- (2022) Zhijun Guo et al. AUTOMATICA
- Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision
- (2021) Jiajun Ou et al. NEUROCOMPUTING
- Deep reinforcement learning and parameter transfer based approach for the multi-objective agile earth observation satellite scheduling problem
- (2021) Luona Wei et al. APPLIED SOFT COMPUTING
- Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey
- (2021) Mohamed Said Frikha et al. COMPUTER COMMUNICATIONS
- Multi-Tree Search for Multi-Satellite Responsiveness Scheduling Considering Orbital Maneuvering
- (2021) Zhong Zhang et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Scheduling and Planning Framework for Time Delay Integration Imaging by Agile Satellite
- (2021) Wei Qiu et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Deep reinforcement learning for transportation network combinatorial optimization: A survey
- (2021) Qi Wang et al. KNOWLEDGE-BASED SYSTEMS
- Deep reinforcement learning in medical imaging: A literature review
- (2021) S. Kevin Zhou et al. MEDICAL IMAGE ANALYSIS
- An improved genetic algorithm for the integrated satellite imaging and data transmission scheduling problem
- (2021) Jiawei Zhang et al. COMPUTERS & OPERATIONS RESEARCH
- Flexible Task Scheduling in Data Relay Satellite Networks
- (2021) Guohua Wu et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Deep Reinforcement Learning for Autonomous Driving: A Survey
- (2021) B Ravi Kiran et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture
- (2021) Pawel Ladosz et al. IEEE Transactions on Neural Networks and Learning Systems
- Scheduling Optimization of Multiple Hybrid-Propulsive Spacecraft for Geostationary Space Debris Removal Missions
- (2021) Zhao Wei et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
- (2020) Xianfu Chen et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon
- (2020) Yoshua Bengio et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Optimal mission scheduling for hybrid synthetic aperture radar satellite constellation based on weighting factors
- (2020) Hongrae Kim et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Multi-satellites imaging scheduling using individual reconfiguration based integer coding genetic algorithm
- (2020) Zhibo E. et al. ACTA ASTRONAUTICA
- A multi-objective hyper heuristic framework for integrated optimization of carrier-based aircraft flight deck operations scheduling and resource configuration
- (2020) Rongwei Cui et al. AEROSPACE SCIENCE AND TECHNOLOGY
- A knowledge-based evolutionary algorithm for relay satellite system mission scheduling problem
- (2020) Yanjie Song et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet
- (2020) Fengxiao Tang et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications
- (2020) Helin Yang et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Energy management of intelligent building based on deep reinforced learning
- (2020) Xiaoqing Huang et al. Alexandria Engineering Journal
- Online scheduling of image satellites based on neural networks and deep reinforcement learning
- (2019) Haijiao WANG et al. Chinese Journal of Aeronautics
- Distributed onboard mission planning for multi-satellite systems
- (2019) Zixuan Zheng et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Task scheduling and attitude planning for agile earth observation satellite with intensive tasks
- (2019) Shuo Wang et al. AEROSPACE SCIENCE AND TECHNOLOGY
- FCN based preprocessing for exemplar-based face sketch synthesis
- (2019) Dan Lu et al. NEUROCOMPUTING
- Multi-satellite scheduling framework and algorithm for very large area observation
- (2019) Yingjie Xu et al. ACTA ASTRONAUTICA
- A Data-Driven Parallel Scheduling Approach for Multiple Agile Earth Observation Satellites
- (2019) Yonghao Du et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Novel Uplink Scheduling Algorithm for the Galileo System
- (2018) Marco Porretta et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Mission Scheduling in Space Network with Antenna Dynamic Setup Times
- (2018) Lei Wang et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Multisource Transfer Double DQN Based on Actor Learning
- (2018) Jie Pan et al. IEEE Transactions on Neural Networks and Learning Systems
- Event-based state estimation of linear dynamic systems with unknown exogenous inputs
- (2016) Dawei Shi et al. AUTOMATICA
- Scheduling divisible loads with nonlinear communication time
- (2015) Kai Wang et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Event-triggered transmission for linear control over communication channels
- (2013) Fulvio Forni et al. AUTOMATICA
- Planning and scheduling algorithms for the COSMO-SkyMed constellation
- (2008) Nicola Bianchessi et al. AEROSPACE SCIENCE AND TECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search