Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning
暂无分享,去创建一个
Lincheng Shen | Jie Li | Xin Xu | Zhihong Liu | Wenhong Zhou | Lincheng Shen | Xin Xu | Jie Li | Zhihong Liu | Wenhong Zhou
[1] Xia Lei,et al. Deep Reinforcement Learning with Experience Sharing for Power Control , 2020, 2020 IEEE 20th International Conference on Communication Technology (ICCT).
[2] Akansel Cosgun,et al. Decentralized Multi-Agent Pursuit Using Deep Reinforcement Learning , 2020, IEEE Robotics and Automation Letters.
[3] Liujing Wang,et al. Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning , 2019, IEEE Access.
[4] H. Snoussi,et al. A reinforcement learning approach for UAV target searching and tracking , 2019, Multimedia Tools and Applications.
[5] Gerhard Neumann,et al. Deep Reinforcement Learning for Swarm Systems , 2018, J. Mach. Learn. Res..
[6] Mykel J. Kochenderfer,et al. Multi-Agent Reinforcement Learning for Multi-Object Tracking , 2018, AAMAS.
[7] Nick-Marios T. Kokolakis,et al. Coordinated Standoff Tracking of a Ground Moving Target and the Phase Separation Problem , 2018, 2018 International Conference on Unmanned Aircraft Systems (ICUAS).
[8] Mariette Awad,et al. Decision Making in Multiagent Systems: A Survey , 2018, IEEE Transactions on Cognitive and Developmental Systems.
[9] Alberto Sanfeliu,et al. Searching and tracking people with cooperative mobile robots , 2017, Autonomous Robots.
[10] Xiao Zhang,et al. Autonomous navigation of UAV in large-scale unknown complex environment with deep reinforcement learning , 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[11] Gerhard Neumann,et al. Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning , 2017, ANTS Conference.
[12] Cameron K. Peterson. Dynamic grouping of cooperating vehicles using a receding horizon controller for ground target search and track missions , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).
[13] Yi Wu,et al. Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments , 2017, NIPS.
[14] Jonathan P. How,et al. Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[15] James C. Spall,et al. Multi-agent surveillance and tracking using cyclic stochastic gradient , 2016, 2016 American Control Conference (ACC).
[16] Honglun Wang,et al. Cooperative path planning with applications to target tracking and obstacle avoidance for multi-UAVs , 2016 .
[17] D. Kudenko,et al. Potential-based reward shaping for finite horizon online POMDP planning , 2016, Autonomous Agents and Multi-Agent Systems.
[18] Dorian Kodelja,et al. Multiagent cooperation and competition with deep reinforcement learning , 2015, PloS one.
[19] Toru Namerikawa,et al. Formation control with collision avoidance for a multi-UAV system using decentralized MPC and consensus-based control , 2015, 2015 European Control Conference (ECC).
[20] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[21] Jie Shao,et al. Swarm robots reinforcement learning convergence accuracy-based learning classifier systems with gradient descent (XCS-GD) , 2013, Proceedings of 2013 3rd International Conference on Computer Science and Network Technology.
[22] Olivier Buffet,et al. Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Optimally Solving Dec-POMDPs as Continuous-State MDPs , 2022 .
[23] Vincent Roberge,et al. Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-Time UAV Path Planning , 2013, IEEE Transactions on Industrial Informatics.
[24] Naomi Ehrich Leonard,et al. Starling Flock Networks Manage Uncertainty in Consensus at Low Cost , 2013, PLoS Comput. Biol..
[25] X. Rong Li,et al. UAV Route Planning for Joint Search and Track Missions—An Information-Value Approach , 2012, IEEE Transactions on Aerospace and Electronic Systems.
[26] Ganesh K. Venayagamoorthy,et al. Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[27] Han-Lim Choi,et al. Consensus-Based Decentralized Auctions for Robust Task Allocation , 2009, IEEE Transactions on Robotics.
[28] G. Parisi,et al. Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study , 2007, Proceedings of the National Academy of Sciences.
[29] Bernhard Rinner,et al. Cooperative Robots to Observe Moving Targets: Review , 2018, IEEE Transactions on Cybernetics.
[30] Joarder Kamruzzaman,et al. Search and tracking algorithms for swarms of robots: A survey , 2016, Robotics Auton. Syst..
[31] Huang Ning. A UAV Route Planning Method Based on Voronoi Diagram and Quantum Genetic Algorithm , 2013 .
[32] Carsten Peterson,et al. Explorations of the mean field theory learning algorithm , 1989, Neural Networks.