Autonomous Tracking Using a Swarm of UAVs: A Constrained Multi-Agent Reinforcement Learning Approach
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[1] Sidney N. Givigi,et al. A Q-Learning Approach to Flocking With UAVs in a Stochastic Environment , 2017, IEEE Transactions on Cybernetics.
[2] Hai Nguyen,et al. Review of Deep Reinforcement Learning for Robot Manipulation , 2019, 2019 Third IEEE International Conference on Robotic Computing (IRC).
[3] Theodoros A. Tsiftsis,et al. Resource Allocation for Energy Harvesting-Powered D2D Communication Underlaying UAV-Assisted Networks , 2018, IEEE Transactions on Green Communications and Networking.
[4] Carlos Alberto V. Campos,et al. Evaluating data communications in natural disaster scenarios using opportunistic networks with Unmanned Aerial Vehicles , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[5] Le Zhang,et al. Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation , 2019, IEEE Access.
[6] Ahmad A. Masoud,et al. Harmonic potential based communication-aware navigation and beamforming in cluttered spaces with full channel-state information , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[7] Yazhe Tang,et al. Vision-Aided Multi-UAV Autonomous Flocking in GPS-Denied Environment , 2019, IEEE Transactions on Industrial Electronics.
[8] Joshua R. Smith,et al. Inter-Technology Backscatter: Towards Internet Connectivity for Implanted Devices , 2016, SIGCOMM.
[9] Fung Po Tso,et al. Autonomous Flying WiFi Access Point , 2019, 2019 IEEE Symposium on Computers and Communications (ISCC).
[10] Inés María Galván,et al. Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks , 2017, Inf. Sci..
[11] Shengjun Wu. Illegal radio station localization with UAV-based Q-learning , 2018, China Communications.
[12] Vijay K. Bhargava,et al. Machine Learning Methods for RSS-Based User Positioning in Distributed Massive MIMO , 2018, IEEE Transactions on Wireless Communications.
[13] Xiao Liu,et al. Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach , 2018, IEEE Transactions on Vehicular Technology.
[14] Hyo-Sung Ahn,et al. Convergence of multiagent Q-learning: Multi action replay process approach , 2010, 2010 IEEE International Symposium on Intelligent Control.
[15] Andrew R. Nix,et al. Path Loss Models for Air-to-Ground Radio Channels in Urban Environments , 2006, 2006 IEEE 63rd Vehicular Technology Conference.
[16] Yu-Jia Chen,et al. A Machine Learning Based Attack in UAV Communication Networks , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).
[17] Huosheng Hu,et al. A Novel Real-Time Moving Target Tracking and Path Planning System for a Quadrotor UAV in Unknown Unstructured Outdoor Scenes , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[18] Fung Po Tso,et al. Mobility-Aware Probabilistic Caching in UAV-Assisted Wireless D2D Networks , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).
[19] Ian F. Akyildiz,et al. Help from the Sky: Leveraging UAVs for Disaster Management , 2017, IEEE Pervasive Computing.
[20] Linling Kuang,et al. Channel Tracking With Flight Control System for UAV mmWave MIMO Communications , 2018, IEEE Communications Letters.
[21] Ping Li,et al. Discrete-Time Multi-Player Games Based on Off-Policy Q-Learning , 2019, IEEE Access.
[22] I-Ming Chen,et al. Autonomous navigation of UAV by using real-time model-based reinforcement learning , 2016, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV).
[23] Li-Chun Wang,et al. Privacy Protection for Internet of Drones: A Network Coding Approach , 2019, IEEE Internet of Things Journal.
[24] Kyriakos G. Vamvoudakis,et al. Deep-Learning Tracking for Autonomous Flying Systems Under Adversarial Inputs , 2020, IEEE Transactions on Aerospace and Electronic Systems.
[25] Shi Jin,et al. Beam Tracking for UAV Mounted SatCom on-the-Move With Massive Antenna Array , 2017, IEEE Journal on Selected Areas in Communications.
[26] Ivan Markovic,et al. Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes , 2019, 2019 European Conference on Mobile Robots (ECMR).
[27] Beno Benhabib,et al. Multi-UAV based Autonomous Wilderness Search and Rescue using Target Iso-Probability Curves , 2019, 2019 International Conference on Unmanned Aircraft Systems (ICUAS).
[28] Hugh H. T. Liu,et al. Kalman Filter-Based Large-Scale Wildfire Monitoring With a System of UAVs , 2019, IEEE Transactions on Industrial Electronics.
[29] Zhu Han,et al. Optimal Placement of Low-Altitude Aerial Base Station for Securing Communications , 2019, IEEE Wireless Communications Letters.
[30] Andrey V. Savkin,et al. A Method for Optimized Deployment of Unmanned Aerial Vehicles for Maximum Coverage and Minimum Interference in Cellular Networks , 2019, IEEE Transactions on Industrial Informatics.
[31] Jian Ma,et al. Learning-Based Energy-Efficient Data Collection by Unmanned Vehicles in Smart Cities , 2018, IEEE Transactions on Industrial Informatics.
[32] Fatih Erden,et al. RSS-Based Q-Learning for Indoor UAV Navigation , 2019, MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM).
[33] Andrey V. Savkin,et al. An Algorithm of Reactive Collision Free 3-D Deployment of Networked Unmanned Aerial Vehicles for Surveillance and Monitoring , 2020, IEEE Transactions on Industrial Informatics.
[34] Pi-Cheng Hsiu,et al. A Doppler Effect Based Framework for Wi-Fi Signal Tracking in Search and Rescue Operations , 2018, IEEE Transactions on Vehicular Technology.
[35] Cheng Wu,et al. Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process , 2019, IEEE Access.
[36] Ismail Guvenc,et al. Receding Horizon Multi-UAV Cooperative Tracking of Moving RF Source , 2017, IEEE Communications Letters.
[37] Liang Liu,et al. Regional Cooperative Multi-agent Q-learning Based on Potential Field , 2008, 2008 Fourth International Conference on Natural Computation.
[38] Kaishun Wu,et al. Optimal Wireless Information and Energy Transmissions for UAV-Enabled Cognitive Communication Systems , 2018, 2018 IEEE International Conference on Communication Systems (ICCS).
[39] Mihail L. Sichitiu,et al. Autonomous Tracking of Intermittent RF Source Using a UAV Swarm , 2018, IEEE Access.
[40] Grigoriy Fokin. Passive Geolocation with Unmanned Aerial Vehicles using AOA Measurement Processing , 2020, 2020 22nd International Conference on Advanced Communication Technology (ICACT).
[41] Chadi Assi,et al. Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning Approach , 2020, IEEE Transactions on Mobile Computing.
[42] Eduardo Tovar,et al. Energy Efficient Legitimate Wireless Surveillance of UAV Communications , 2019, IEEE Transactions on Vehicular Technology.
[43] Fatih Erden,et al. Micro-UAV Detection and Classification from RF Fingerprints Using Machine Learning Techniques , 2019, 2019 IEEE Aerospace Conference.
[44] Qinru Qiu,et al. Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning , 2019, 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).
[45] Krzysztof Skonieczny,et al. EKF and UKF localization of a moving RF ground target using a flying vehicle , 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).
[46] Andrey V. Savkin,et al. Method for tracking of environmental level sets by a unicycle-like vehicle , 2012, Autom..
[47] Andrey V. Savkin,et al. Sensor-Network-Based Navigation of a Mobile Robot for Extremum Seeking Using a Topology Map , 2019, IEEE Transactions on Industrial Informatics.
[48] Chadi Abou-Rjeily,et al. UAV-Aided Cooperation for FSO Communication Systems , 2018, IEEE Communications Magazine.
[49] Azer Bestavros,et al. Reinforcement Learning for UAV Attitude Control , 2018, ACM Trans. Cyber Phys. Syst..
[50] Qi Hao,et al. Action synchronization between human and UAV robotic arms for remote operation , 2016, 2016 IEEE International Conference on Mechatronics and Automation.
[51] Manuela Veloso,et al. Multiagent learning in the presence of agents with limitations , 2003 .
[52] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[53] Brian Bingham,et al. Dynamic Plume Tracking by Cooperative Robots , 2019, IEEE/ASME Transactions on Mechatronics.
[54] Xiaoqiang Ren,et al. Whittle Index Policy for Dynamic Multichannel Allocation in Remote State Estimation , 2020, IEEE Transactions on Automatic Control.
[55] Li Wang,et al. An Improved Algorithm Based on Particle Filter for 3D UAV Target Tracking , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).
[56] Byron Boots,et al. Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs , 2016, Robotics: Science and Systems.
[57] Michael W. Shafer,et al. UAV-RT: An SDR Based Aerial Platform for Wildlife Tracking , 2018, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall).
[58] N. Kemal Ure,et al. Localization and tracking of RF emitting targets with multiple unmanned aerial vehicles in large scale environments with uncertain transmitter power , 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).