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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
International Maritime Management: Serving the seafarers of tomorrow and their educational needs
Using reinforcement learning to minimize taxi idle times
Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
Modular Reinforcement Learning for Autonomous UAV Flight Control
Few-Shot traffic prediction based on transferring prior knowledge from local network
A cold-start-free reinforcement learning approach for traffic signal 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
Performance evaluation of mode choice models under balanced and imbalanced data assumptions
Deep Learning-Based Airspeed Estimation System for a Commercial Aircraft
Deep Reinforcement Learning with Corrective Feedback for Autonomous UAV Landing on a Mobile Platform
SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS
Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning
Shipping market forecasting by forecast combination mechanism
Dynamic "Standing Orders" for Autonomous Navigation System by means of Machine Learning
Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities
Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning
A data-driven lane-changing behavior detection system based on sequence learning
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
Application of algorithmic models of machine learning to the freight transportation process
Uplink Throughput Maximization in UAV-Aided Mobile Networks: A DQN-Based Trajectory Planning Method
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction