On the public citation graph

Attention-Guided Deep Reinforcement Learning for Continuous UAV Penetration in Heterogeneous Radar Networks

https://doi.org/10.2139/ssrn.7181302
0 signed · 21 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/tee.23898openalex-snapshot
Bi‐RRT *: An Improved Bidirectional RRT * Path Planner for Robot in Two‐Dimensional Space
inferredcites →https://doi.org/10.1007/s00521-021-06702-3openalex-snapshot
Tactical UAV path optimization under radar threat using deep reinforcement learning
inferredcites →https://doi.org/10.1007/s10846-023-01823-4openalex-snapshot
Dynamic RRT: Fast Feasible Path Planning in Randomly Distributed Obstacle Environments
inferredcites →https://doi.org/10.1016/j.dcan.2023.02.016openalex-snapshot
Fast UAV path planning in urban environments based on three-step experience buffer sampling DDPG
inferredcites →https://doi.org/10.1016/j.neucom.2024.128423openalex-snapshot
Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning
inferredcites →https://doi.org/10.1109/access.2020.2971780openalex-snapshot
Path Planning for UAV Ground Target Tracking via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/icuas60882.2024.10557022openalex-snapshot
Energy-Efficient Path-Planning for UAV Swarm Based Missions: A Genetic Algorithm Approach
inferredcites →https://doi.org/10.1109/jas.2022.105410openalex-snapshot
Unmanned Aerial Vehicles: Control Methods and Future Challenges
inferredcites →https://doi.org/10.1109/jsen.2024.3516124openalex-snapshot
Cooperative Path Planning of Multiple Unmanned Aerial Vehicles Using Cylinder Vector Particle Swarm Optimization With Gene Targeting
inferredcites →https://doi.org/10.1109/lra.2020.3047728openalex-snapshot
EGO-Planner: An ESDF-Free Gradient-Based Local Planner for Quadrotors
inferredcites →https://doi.org/10.1109/mcom.2016.7470933openalex-snapshot
Wireless communications with unmanned aerial vehicles: opportunities and challenges
inferredcites →https://doi.org/10.1109/taes.2024.3445323openalex-snapshot
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
inferredcites →https://doi.org/10.1109/tifs.2020.3027145openalex-snapshot
Jamming Resilient Tracking Using POMDP-Based Detection of Hidden Targets
inferredcites →https://doi.org/10.1109/tits.2024.3519337openalex-snapshot
Separation and Rendezvous Control With Batteries Replacement for the UAV-USV Ecosystem: A Finite-Time Bipartite Method Under the MPC Structure
inferredcites →https://doi.org/10.1109/tpds.2011.45openalex-snapshot
Design and Analysis of Distributed Radar Sensor Networks
inferredcites →https://doi.org/10.1109/tro.2021.3100142openalex-snapshot
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments
inferredcites →https://doi.org/10.1109/tvt.2021.3102589openalex-snapshot
Energy-Efficient Online Path Planning of Multiple Drones Using Reinforcement Learning
inferredcites →https://doi.org/10.1155/2020/8896357openalex-snapshot
Rapid Penetration Path Planning Method for Stealth UAV in Complex Environment with BB Threats
inferredcites →https://doi.org/10.2514/1.14303openalex-snapshot
Optimal Path Planning for Unmanned Combat Aerial Vehicles to Defeat Radar Tracking
inferredcites →https://doi.org/10.3390/app13148174openalex-snapshot
Dynamic Obstacle Avoidance and Path Planning through Reinforcement Learning
inferredcites →https://doi.org/10.3390/drones8070302openalex-snapshot
An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.