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Deep Reinforcement Learning for UAV Target Search and Continuous Tracking in Complex Environments with Gaussian Process Regression and Prior Policy Embedding

https://doi.org/10.3390/electronics14071330

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-14984-0_38openalex-snapshot

Using Unmanned Aerial Systems in Military Operations for Autonomous Reconnaissance

inferredcites →https://doi.org/10.1007/s11042-018-5739-5openalex-snapshot

A reinforcement learning approach for UAV target searching and tracking

inferredcites →https://doi.org/10.1016/j.cirpj.2022.11.003openalex-snapshot

Deep reinforcement learning in smart manufacturing: A review and prospects

inferredcites →https://doi.org/10.1016/j.scitotenv.2022.159741openalex-snapshot

Marine environmental monitoring with unmanned vehicle platforms: Present applications and future prospects

inferredcites →https://doi.org/10.1088/1742-6596/2216/1/012035openalex-snapshot

An Improved Genetic Algorithm for Rapid UAV Path Planning

inferredcites →https://doi.org/10.1109/access.2020.3032929openalex-snapshot

A Dynamic Artificial Potential Field (D-APF) UAV Path Planning Technique for Following Ground Moving Targets

inferredcites →https://doi.org/10.1109/iciev.2014.6850799openalex-snapshot

Path planning algorithm development for autonomous vacuum cleaner robots

inferredcites →https://doi.org/10.1109/iciibms62405.2024.10792666openalex-snapshot

A Review of Vehicle Trajectory Prediction Methods in Driverless Scenarios

inferredcites →https://doi.org/10.1109/jiot.2020.2973193openalex-snapshot

Deep-Reinforcement-Learning-Based Autonomous UAV Navigation With Sparse Rewards

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/lra.2022.3140817openalex-snapshot

Q-Attention: Enabling Efficient Learning for Vision-Based Robotic Manipulation

inferredcites →https://doi.org/10.1109/tase.2015.2443033openalex-snapshot

Reactive Motion Planning for Unmanned Aerial Surveillance of Risk-Sensitive Areas

inferredcites →https://doi.org/10.1109/tgrs.2021.3096809openalex-snapshot

Remote Sensing Object Tracking With Deep Reinforcement Learning Under Occlusion

inferredcites →https://doi.org/10.1109/tii.2019.2936167openalex-snapshot

End-to-End Navigation Strategy With Deep Reinforcement Learning for Mobile Robots

inferredcites →https://doi.org/10.1109/tits.2020.3024655openalex-snapshot

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

inferredcites →https://doi.org/10.1109/tvt.2021.3129504openalex-snapshot

Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking

inferredcites →https://doi.org/10.1146/annurev-control-100819-063206openalex-snapshot

Recent Advances in Robot Learning from Demonstration

inferredcites →https://doi.org/10.1177/027836499801700706openalex-snapshot

Motion Planning in Dynamic Environments Using Velocity Obstacles

inferredcites →https://doi.org/10.1609/aaai.v32i1.11757openalex-snapshot

Deep Q-learning From Demonstrations

inferredcites →https://doi.org/10.1613/jair.301openalex-snapshot

Reinforcement Learning: A Survey

inferredcites →https://doi.org/10.3390/app13042443openalex-snapshot

Reinforcement Learning in Game Industry—Review, Prospects and Challenges

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Multi-Drone Optimal Mission Assignment and 3D Path Planning for Disaster Rescue

inferredcites →https://doi.org/10.3390/drones8090516openalex-snapshot

UAV Autonomous Navigation Based on Deep Reinforcement Learning in Highly Dynamic and High-Density Environments

inferredcites →https://doi.org/10.3390/drones8100544openalex-snapshot

A Two-Stage Target Search and Tracking Method for UAV Based on Deep Reinforcement Learning

inferredcites →https://doi.org/10.3390/electronics10090999openalex-snapshot

Drone Deep Reinforcement Learning: A Review

inferredcites →https://doi.org/10.3390/electronics13132432openalex-snapshot

Autonomous UAV Navigation with Adaptive Control Based on Deep Reinforcement Learning

inferredcites →https://doi.org/10.3390/s19173754openalex-snapshot

Cooperative Unmanned Aerial System Reconnaissance in a Complex Urban Environment and Uneven Terrain

inferredcites →https://doi.org/10.3390/s21217365openalex-snapshot

Multi UAV Coverage Path Planning in Urban Environments

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.mlwa.2025.100745openalex-snapshot

A comprehensive survey on deep reinforcement learning in object tracking

inferred← citeshttps://doi.org/10.1109/avss65446.2025.11149899openalex-snapshot

Drone Agents: learning to fly to learn how to see

inferred← citeshttps://doi.org/10.1109/eeiss69782.2026.11584612openalex-snapshot

Research on 6G-Oriented SAGIN Access and Handover Methods

inferred← citeshttps://doi.org/10.1109/iceesi68020.2026.11583055openalex-snapshot

Reinforcement Learning-Powered UAV Swarm Coordination for Disaster Response and Real-Time Mapping

inferred← citeshttps://doi.org/10.1177/09544062261470285openalex-snapshot

A novel target search framework for unmanned aerial vehicles in unknown environments

inferred← citeshttps://doi.org/10.17721/ait.2025.2.05openalex-snapshot

ROBUST UAV SWARM DECISION-MAKING UNDER UNCERTAINTY VIA COMBINATION OF MULTI-AGENT REINFORCEMENT LEARNING AND HYBRID AUTOMATA

inferred← citeshttps://doi.org/10.3390/app16094128openalex-snapshot

Multi-UAV Navigation for Surveillance of Moving Ground Vehicles on Uneven Terrains via Beam-Search MPC

inferred← citeshttps://doi.org/10.3390/engproc2026157014openalex-snapshot

Human in the Loop: A Comparative Study of Human and Artificial Visual Search Strategies in a VR-Based Dynamic Environment for Defense Applications

inferred← citeshttps://doi.org/10.3390/s26072145openalex-snapshot

Design and Implementation of a Real-Time Visual Tracking System for UAVs Based on PSDK

inferred← citeshttps://doi.org/10.3934/math.2026723openalex-snapshot

A multidimensional first-encounter time model for random walk search based on a two-stage stochastic transport process

inferred← citeshttps://doi.org/10.48130/mav-0026-0017openalex-snapshot

Intent-informed UAV tracking for evasive targets in urban environments

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