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
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
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
Road Artery Traffic Light Optimization with Use of the Reinforcement Learning
PENGEMBANGAN MEDIA PEMBELAJARAN RODA PUTAR FISIKA UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA
Multiple-UAV Reinforcement Learning Algorithm Based on Improved PPO in Ray Framework
Deep Learning-Based Airspeed Estimation System for a Commercial Aircraft
SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS
Deep Reinforcement Learning with Corrective Feedback for Autonomous UAV Landing on a Mobile Platform
Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning
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
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
Review of intelligent detection and statistical methods of wild animals in UAV aerial photography
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors
Aircraft AI Static Path Planning on Airport Ground Based on Reinforcement Learning
Federated Reinforcement Learning for Collaborative Intelligence in UAV-Assisted C-V2X Communications
A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Predicting network flows from speeds using open data and transfer learning