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Deep Reinforcement Learning for Drone Delivery
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
A reinforcement learning model for personalized driving policies identification
Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters
Modular Reinforcement Learning for Autonomous UAV Flight Control
Drones Chasing Drones: Reinforcement Learning and Deep Search Area Proposal
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
Federated Learning for Spanish Ports as an Aid to Digitization
PENGEMBANGAN MEDIA PEMBELAJARAN RODA PUTAR FISIKA UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA
Multiple-UAV Reinforcement Learning Algorithm Based on Improved PPO in Ray Framework
Road Artery Traffic Light Optimization with Use of the Reinforcement Learning
SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS
Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning
Deep Learning-Based Airspeed Estimation System for a Commercial Aircraft
Deep Reinforcement Learning with Corrective Feedback for Autonomous UAV Landing on a Mobile Platform
Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities
Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning
Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
Review of intelligent detection and statistical methods of wild animals in UAV aerial photography
Uplink Throughput Maximization in UAV-Aided Mobile Networks: A DQN-Based Trajectory Planning Method
Application of algorithmic models of machine learning to the freight transportation process
Aircraft AI Static Path Planning on Airport Ground Based on Reinforcement Learning
A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique
Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
SYSTEMS FOR AERIAL SURVEILLANCE AND SECURITY – A STEP FORWARD FOR AIR FORCE ACADEMIES
Predicting network flows from speeds using open data and transfer learning
Swarm Cooperative Navigation Using Centralized Training and Decentralized Execution
Development of a global road safety performance function using deep neural networks