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learning
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Traffic Lights Control Using Reinforcement Learning: A Comparative Study
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Multi-agent Deep Reinforcement Learning for Countering Uncrewed Aerial Systems
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023
Deep Learning Based Object Detection on Gas Cylinders
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning
Fast Tunnel Traversal for Ground Vehicles by Bearing Estimation with Neural Networks
Task Space Control of Hydraulic Construction Machines Using Reinforcement Learning
Imitation Learning-Based Visual Servoing for Tracking Moving Objects
MARLAS: Multi Agent Reinforcement Learning for Cooperated Adaptive Sampling
Real-Time Road Lane Detection for Self-driving Cars Using Computer Vision
Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions
Real-Time Carbon Emission Monitoring and Prediction Method of Expressway Based on LSTM