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Dynamic Scene Path Planning of UAVs Based on Deep Reinforcement Learning

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

inferredcites →https://doi.org/10.1007/s10846-018-0790-zopenalex-snapshot
Automatic Control for Aerobatic Maneuvering of Agile Fixed-Wing UAVs
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Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments
inferredcites →https://doi.org/10.1007/s13042-015-0339-4openalex-snapshot
Online UAV path planning in uncertain and hostile environments
inferredcites →https://doi.org/10.1016/j.asoc.2015.01.067openalex-snapshot
Mobile robot path planning using artificial bee colony and evolutionary programming
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/nature16961openalex-snapshot
Mastering the game of Go with deep neural networks and tree search
inferredcites →https://doi.org/10.1080/0305215x.2015.1005084openalex-snapshot
Double global optimum genetic algorithm–particle swarm optimization-based welding robot path planning
inferredcites →https://doi.org/10.1109/iaeac47372.2019.8997878openalex-snapshot
Partition Heuristic RRT Algorithm of Path Planning Based on Q-learning
inferredcites →https://doi.org/10.1109/icinfa.2015.7279322openalex-snapshot
Dynamic path planning of a mobile robot with improved Q-learning algorithm
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851906openalex-snapshot
Formation Control with Collision Avoidance through Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1126/science.aar6404openalex-snapshot
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
inferredcites →https://doi.org/10.1177/09544070221106037openalex-snapshot
An improved Dueling Deep Q-network with optimizing reward functions for driving decision method
inferredcites →https://doi.org/10.1186/s40638-016-0055-xopenalex-snapshot
Mobile robots exploration through cnn-based reinforcement learning
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.3389/fnbot.2022.817168openalex-snapshot
A Distributed Multi-Agent Formation Control Method Based on Deep Q Learning
inferredcites →https://doi.org/10.3390/info12120513openalex-snapshot
Learnable Leaky ReLU (LeLeLU): An Alternative Accuracy-Optimized Activation Function
inferredcites →https://doi.org/10.48550/arxiv.1511.06581openalex-snapshot
Dueling Network Architectures for Deep Reinforcement Learning

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Research on Three‐Dimensional Autonomous Obstacle Avoidance Path Planning Methods for UAVs
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A novel hybrid path planning method for sweep coverage of multiple UAVs
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Dual-timescale hierarchical MADDPG for Multi-UAV cooperative search
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Three-dimensional path planning algorithm for UAV based on CL-PER-ID3QN
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A multi-goal reinforcement learning framework for motion planning of a quadrotor UAV in 3D cluttered environment with unseen random goals
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Large-scale UAV swarm path planning based on mean-field reinforcement learning
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Noise-driven enhancement for exploration: Deep reinforcement learning for UAV autonomous navigation in complex environments
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UAV-based path planning for efficient localization of non-uniformly distributed weeds using prior knowledge: A reinforcement-learning approach
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A survey of intelligent and content-aware aerial networks’ capabilities, challenges, and future directions
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Wildfire rescue swarm intelligence framework: Multi-point path planning in dynamic fire scene environments
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The usage of a transformer based and artificial intelligence driven multidimensional feedback system in english writing instruction
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Real-time path planning for unmanned sailboats using wind prediction and reinforcement learning
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Optimizing 3D UAV navigation via a high-efficiency hybrid RRT*-DQN approach
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A 3D path planning method for safe UAV escape in mountainous environments based on a Q-learning parameter-adaptive RRT* algorithm
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Knowledge-Enhanced Deep Reinforcement Learning in Dynamic Path Planning with Transfer Strategy
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Variable Action Set-Based Monte Carlo Tree Search Algorithm for AAV Autonomous Collision Avoidance
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Research on UAV Path Planning Based on Particle Swarm Optimization and Soft Actor-Critic
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Pre-Flight UAV Route Optimization Using Deep Reinforcement Learning
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A method for optimizing UAV paths in dynamic scenes combined with deep reinforcement learning
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Multiagent Deep Reinforcement Learning for Joint Movement and User Association of UAV-BS Emergency Indoor User Service
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Terrain-Aware Adaptation for Two-Dimensional UAV Path Planners
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Fast-Response UAV Delivery Path Planning in Urban High-Rises via Reinforcement Learning
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Energy-Efficient Route and Velocity Planning for Electric Vehicles: A Hierarchical Eco-Driving Framework Integrating Traffic and Road Information
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A Dynamic Path Planning Method for UAV-Enabled Inspection Services
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A Survey on Deep Reinforcement Learning Applications in Autonomous Systems: Applications, Open Challenges, and Future Directions
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A Multi-Objective Path Planning Framework in Off-Road Environments Based on Deep Reinforcement Learning
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AI-Driven Real-Time UAV Autonomous Trajectory Optimization Using Deep Reinforcement Learning in Dynamic and Partially Observable Environments
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Advancements in UAV Path Planning: A Deep Reinforcement Learning Approach with Soft Actor-Critic for Enhanced Navigation
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Application of Reinforcement Learning in UAV Tasks: A Survey
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Dynamic unmanned aerial vehicle path planning for rescue missions using trajectory-predictive and attention-enhanced deep recurrent SARSA
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Optimal dynamic semi-active control of high-speed elevator car horizontal vibration based on DDPG
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Evolving Information Retrieval: From Traditional Models to Emerging Paradigms
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A Sequence Aware Feasibility Constrained Hierarchical Reinforcement Learning Framework for Electric Vehicle Charging Navigation under Dynamic Uncertainty
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Multi-Objective Path Planning for Unmanned Aerial Vehicles in Dynamic Meteorological Environments
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Safety-Shielded Reinforcement Learning with Event-Triggered Replanning for Autonomous Aerial Navigation in Dynamic Obstacle Environments
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Dynamic Path Planning for Avoiding Non-Cooperative Threats
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МЕТОД ТА МОДЕЛЬ ПЛАНУВАННЯ МАРШРУТУ ПОЛЬОТУ ГРУПИ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ АПАРАТІВ ДЛЯ УНИКНЕННЯ ПЕРЕШКОД У МІСЬКИЙ ЗАБУДОВІ НА ОСНОВІ ТЕХНОЛОГІЙ МАШИННОГО НАВЧАННЯ
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Path planning of mobile robot based on improved double deep Q-network algorithm
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Enhanced Soft Actor–Critic with Dual-Path Channel Attention for UAV Autonomous Navigation in Complex Environments
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A Cooperative Keypoint–Sparse Cache and Improved PPO Framework for Rapid 3D UAV Path Planning
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An Experience-Guided MAPPO Framework for Multi-UAV Cooperative Tracking in Continuous Action Spaces
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GeoSOT-H-Enabled Risk-Aware Hierarchical Path Planning and Emergency Replanning for Urban Low-Altitude UAV Missions
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A New Autonomous Method of Drone Path Planning Based on Multiple Strategies for Avoiding Obstacles with High Speed and High Density
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Comparative Evaluation of Reinforcement Learning Algorithms for Multi-Agent Unmanned Aerial Vehicle Path Planning in 2D and 3D Environments
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Multi-UAV Trajectory Planning Based on a Two-Layer Algorithm Under Four-Dimensional Constraints
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An Improved Deep Q-Learning Approach for Navigation of an Autonomous UAV Agent in 3D Obstacle-Cluttered Environment
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Unmanned Ground Vehicle Path Planning Based on Improved DRL Algorithm
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Multi-Head Attention DQN and Dynamic Priority for Path Planning of Unmanned Aerial Vehicles Oriented to Penetration
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Analysis of Regional Spatial Characteristics and Optimization of Tourism Routes Based on Point Cloud Data from Unmanned Aerial Vehicles
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Energy-Efficient Online Path Planning for Internet of Drones Using Reinforcement Learning
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Reinforcement Learning for UAV Control: From Algorithms to Deployment Readiness
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Tau-Theory-Based Guidance Methodology for Helicopter Obstacle Field Navigation
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Perception-Aware Cooperative Path Planning for Multi-UAV Systems in Urban Wind Fields via Deep Reinforcement Learning
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