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Multiple UAVs Path Planning Based on Deep Reinforcement Learning in Communication Denial Environment

https://doi.org/10.3390/math11020405

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What this work says

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

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AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

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A review of artificial intelligence applied to path planning in UAV swarms

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Establishing Obstacle and Collision Free Communication Relay for UAVs with Artificial Potential Fields

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Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments

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UAV navigation in high dynamic environments: A deep reinforcement learning approach

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A review: On path planning strategies for navigation of mobile robot

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Maneuvering target tracking of UAV based on MN-DDPG and transfer learning

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A Multi-UCAV cooperative occupation method based on weapon engagement zones for beyond-visual-range air combat

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Autonomous maneuver decision-making for a UCAV in short-range aerial combat based on an MS-DDQN algorithm

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Particle Swarm Guidance System for Autonomous Unmanned Aerial Vehicles in an Air Defence Role

inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot

Human-level control through deep reinforcement learning

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Deep learning

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Ant colony system: a cooperative learning approach to the traveling salesman problem

inferredcites →https://doi.org/10.1109/access.2019.2943253openalex-snapshot

Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning

inferredcites →https://doi.org/10.1109/access.2021.3073704openalex-snapshot

UAV Path Planning Based on Multi-Layer Reinforcement Learning Technique

inferredcites →https://doi.org/10.1109/access.2022.3199070openalex-snapshot

Collaborative Decision-Making Method for Multi-UAV Based on Multiagent Reinforcement Learning

inferredcites →https://doi.org/10.1109/care.2013.6733718openalex-snapshot

Mobile robots path planning using ant colony optimization and Fuzzy Logic algorithms in unknown dynamic environments

inferredcites →https://doi.org/10.1109/ccdc.2010.5498349openalex-snapshot

Dynamic path planning for mobile robot based on genetic algorithm in unknown environment

inferredcites →https://doi.org/10.1109/lra.2020.2974648openalex-snapshot

A Two-Stage Reinforcement Learning Approach for Multi-UAV Collision Avoidance Under Imperfect Sensing

inferredcites →https://doi.org/10.1109/nabic.2009.5393690openalex-snapshot

Cuckoo Search via Lévy flights

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Real-Time Obstacle Avoidance for Manipulators and Mobile Robots

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Genetic algorithm based solution to dead-end problems in robot navigation

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Deep Reinforcement Learning with Double Q-Learning

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Evaluation of Reinforcement and Deep Learning Algorithms in Controlling Unmanned Aerial Vehicles

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Dueling Network Architectures for Deep Reinforcement Learning

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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

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A Distributional Perspective on Reinforcement Learning

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Ray: A Distributed Framework for Emerging AI Applications

What points at this work

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

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Intelligent hybrid optimization algorithms for multi-agent aerial robots path planning: review of the recent emerging trends and open research directions

inferred← citeshttps://doi.org/10.1007/s11370-025-00613-1openalex-snapshot

Convolutional neural network-based deep Q-network (CNN-DQN) path planning method for mobile robots

inferred← citeshttps://doi.org/10.1007/s13042-023-01989-1openalex-snapshot

Consistent epistemic planning for multiagent deep reinforcement learning

inferred← citeshttps://doi.org/10.1007/s44465-026-00028-xopenalex-snapshot

Cross domain constraint clustering guides reinforcement enhanced multi objective particle swarm optimization for UAV path planning under multiple threat constraints

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Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review

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Autonomous UAV last-mile delivery in urban environments: A survey on deep learning and reinforcement learning solutions

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Multi-sensor based strategy learning with deep reinforcement learning for unmanned ground vehicle

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Intelligent drone pickup scheduling via deep reinforcement learning in low altitude economy networks

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MABQN: Multi-agent reinforcement learning algorithm with discrete policy

inferred← citeshttps://doi.org/10.1016/j.procs.2024.04.001openalex-snapshot

Enhancing UAV Path Planning Efficiency through Adam-Optimized Deep Neural Networks for Area Coverage Missions

inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.346openalex-snapshot

Deep Reinforcement Learning-Based Framework for Path Planning of AUAVs

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Hybrid algorithms in path planning for autonomous navigation of unmanned aerial vehicle: a comprehensive review

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Energy Efficient Path Planning Scheme for Unmanned Aerial Vehicle Using Hybrid Generic Algorithm-Based Q-Learning Optimization

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IR-QLA: Machine Learning-Based Q-Learning Algorithm Optimization for UAVs Faster Trajectory Planning by Instructed- Reinforcement Learning

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Path Planning for Fully Autonomous UAVs-A Taxonomic Review and Future Perspectives

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Intelligent Optimization Algorithms for Multi-UAV Path Planning: A Comprehensive Review

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DCPO: A Model for Dynamic Collaborative Path Planning with Learnable Credit Assignment

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Monitoring and Using Open Wi-Fi Routers by UAV Swarms for Communication: Application Domains Analysis, Model and Algorithm Example

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SwarmPath: Drone Swarm Navigation Through Cluttered Environments Leveraging Artificial Potential Field and Impedance Control

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Cooperative Obstacle Avoidance of Unmanned System Swarm via Reinforcement Learning Under Unknown Environments

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Deep Reinforcement Learning Unmanned Aerial Vehicle Autonomous Cruise System with Fusion of Visual Information

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A Stealth–Distance Dynamic Weight Deep Q-Network Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Helicopter

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Exploring the Use of Invalid Action Masking in Reinforcement Learning: A Comparative Study of On-Policy and Off-Policy Algorithms in Real-Time Strategy Games

inferred← citeshttps://doi.org/10.3390/drones9020122openalex-snapshot

A Continuous Space Path Planning Method for Unmanned Aerial Vehicle Based on Particle Swarm Optimization-Enhanced Deep Q-Network

inferred← citeshttps://doi.org/10.3390/drones9040263openalex-snapshot

A Survey on Multi-UAV Path Planning: Classification, Algorithms, Open Research Problems, and Future Directions

inferred← citeshttps://doi.org/10.3390/drones9070471openalex-snapshot

Multi-UAV Trajectory Planning Based on a Two-Layer Algorithm Under Four-Dimensional Constraints

inferred← citeshttps://doi.org/10.3390/electronics15010167openalex-snapshot

Multi-Head Attention DQN and Dynamic Priority for Path Planning of Unmanned Aerial Vehicles Oriented to Penetration

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Decentralized Q-Learning for Multi-UAV Post-Disaster Communication: A Robotarium-Based Evaluation Across Urban Environments

inferred← citeshttps://doi.org/10.3390/electronics15122496openalex-snapshot

Graph Attention Network-Based Cooperative Trajectory Planning for Multi-UAV Collision Avoidance

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Energy-Efficient Online Path Planning for Internet of Drones Using Reinforcement Learning

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An Efficient End-to-End Obstacle Avoidance Path Planning Algorithm for Intelligent Vehicles Based on Improved Whale Optimization Algorithm

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Research on Signal Detection of OFDM Systems Based on the LSTM Network Optimized by the Improved Chameleon Swarm Algorithm

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A Soft Actor-Critic Deep Reinforcement-Learning-Based Robot Navigation Method Using LiDAR

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AeroVerse-Review: Comprehensive survey on aerial embodied vision-and-language navigation

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