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Autonomous and cooperative control of UAV cluster with multi-agent reinforcement learning

https://doi.org/10.1017/aer.2021.112
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Cooperative Multi-agent Control Using Deep Reinforcement Learning
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Multi-agent Reinforcement Learning: An Overview
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Distributed Reinforcement Learning for Coordinate Multi-Robot Foraging
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Dynamic collision avoidance using local cooperative airplanes decisions
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Markov games as a framework for multi-agent reinforcement learning
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Rapid trajectory design in complex environments enabled by reinforcement learning and graph search strategies
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Path planning for asteroid hopping rovers with pre-trained deep reinforcement learning architectures
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Cooperative path planning with applications to target tracking and obstacle avoidance for multi-UAVs
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Cooperative search-attack mission planning for multi-UAV based on intelligent self-organized algorithm
inferredcites →https://doi.org/10.1016/j.ast.2019.05.058openalex-snapshot
Morphing control of a new bionic morphing UAV with deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.ast.2019.105657openalex-snapshot
Reinforcement learning in dual-arm trajectory planning for a free-floating space robot
inferredcites →https://doi.org/10.1016/j.ast.2019.105671openalex-snapshot
Reinforcement learning based two-level control framework of UAV swarm for cooperative persistent surveillance in an unknown urban area
inferredcites →https://doi.org/10.1016/j.ast.2020.105981openalex-snapshot
A formation maintenance and reconstruction method of UAV swarm based on distributed control
inferredcites →https://doi.org/10.1016/j.cja.2019.08.009openalex-snapshot
Cooperative formation control of multiple aerial vehicles based on guidance route in a complex task environment
inferredcites →https://doi.org/10.1016/j.cja.2019.10.005openalex-snapshot
Switching control of morphing aircraft based on Q-learning
inferredcites →https://doi.org/10.1016/j.cja.2020.02.009openalex-snapshot
Cooperative task assignment of multi-UAV system
inferredcites →https://doi.org/10.1016/j.cja.2020.05.001openalex-snapshot
Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork
inferredcites →https://doi.org/10.1016/j.cja.2020.05.011openalex-snapshot
UAV navigation in high dynamic environments: A deep reinforcement learning approach
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Dynamic target tracking and observing in a mobile sensor network
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A Distributed Cooperative Dynamic Task Planning Algorithm for Multiple Satellites Based on Multi-agent Hybrid Learning
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1109/anzcc47194.2019.8945601openalex-snapshot
A Formation Maintenance and Reconstruction Method of UAV Swarm based on Distributed Control with Obstacle Avoidance
inferredcites →https://doi.org/10.1109/icarcv.2016.7838739openalex-snapshot
Autonomous navigation of UAV by using real-time model-based reinforcement learning
inferredcites →https://doi.org/10.1109/icmlc.2008.4620528openalex-snapshot
A Multi-agent Reinforcement Learning using Actor-Critic methods
inferredcites →https://doi.org/10.1109/icra.2018.8463189openalex-snapshot
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
inferredcites →https://doi.org/10.1109/iros.2006.282564openalex-snapshot
Policy Gradient Methods for Robotics
inferredcites →https://doi.org/10.1109/tcns.2016.2542978openalex-snapshot
Formation Control and Obstacle Avoidance of Multiple Rectangular Agents With Limited Communication Ranges
inferredcites →https://doi.org/10.1109/tsmc.2014.2318282openalex-snapshot
Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping
inferredcites →https://doi.org/10.1177/0954410016683734openalex-snapshot
Multiple flight vehicles cooperative guidance law based on extended state observer and finite time consensus theory
inferredcites →https://doi.org/10.1177/0954410018817613openalex-snapshot
Ascent trajectory tracking method using time-varying quadratic adaptive dynamic programming
inferredcites →https://doi.org/10.1177/0954410019853982openalex-snapshot
Offense–defense confrontation decision making for dynamic UAV swarm versus UAV swarm
inferredcites →https://doi.org/10.1177/0954410019883106openalex-snapshot
Target-bundled genetic algorithm for multi-unmanned aerial vehicle cooperative task assignment considering precedence constraints
inferredcites →https://doi.org/10.1177/0954410019889447openalex-snapshot
Guidance and control for own aircraft in the autonomous air combat: A historical review and future prospects
inferredcites →https://doi.org/10.20381/ruor-5715openalex-snapshot
Multi-Agent Area Coverage Control Using Reinforcement Learning Techniques
inferredcites →https://doi.org/10.24963/ijcai.2017/461openalex-snapshot
Multi-Task Deep Reinforcement Learning for Continuous Action Control
inferredcites →https://doi.org/10.2514/1.g000426openalex-snapshot
Unmanned Aircraft Systems Airspace Integration: A Game Theoretical Framework for Concept Evaluations
inferredcites →https://doi.org/10.3390/robotics2030122openalex-snapshot
Reinforcement Learning in Robotics: Applications and Real-World Challenges
inferredcites →https://doi.org/10.4018/978-1-4666-9572-6.ch014openalex-snapshot
Multi-Robot Swarm for Cooperative Scalar Field Mapping
inferredcites →https://doi.org/10.4236/ica.2016.74012openalex-snapshot
Exploring Deep Reinforcement Learning with Multi Q-Learning
inferredcites →https://doi.org/10.48550/arxiv.1509.02971openalex-snapshot
Continuous control with deep reinforcement learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Design of remote inspection system for high-level canal of hydropower station based on cluster centralized control of quadrotor UAV
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