A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments
Author:
Affiliation:
1. University of New Mexico, Albuquerque, NM, 87106, New Mexico, U.S.A., --- Select a Country ---
2. Los Alamos National Laboratory, Los Alamos, NM, 87544, U.S.A., --- Select a Country ---
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention;Computers in Industry;2024-10
2. Fire Truck Firefighting Path Planning Based on Prediction and Multi-Agent Reinforcement Learning;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10
3. SWIFT: Simulated Wildfire Images for Fast Training Dataset;Remote Sensing;2024-05-02
4. A Deep Learning CNN Approach Regarding Drone Surveillance in Fire-Fighting Scenarios;Signals and Communication Technology;2024
5. Deep Reinforcement Learning Tf-Agent-Based Object Tracking With Virtual Autonomous Drone in a Game Engine;IEEE Access;2023
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