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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
Deep Learning Based Object Detection on Gas Cylinders
Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning
Task Space Control of Hydraulic Construction Machines Using Reinforcement Learning
Fast Tunnel Traversal for Ground Vehicles by Bearing Estimation with Neural Networks
Imitation Learning-Based Visual Servoing for Tracking Moving Objects
MARLAS: Multi Agent Reinforcement Learning for Cooperated Adaptive Sampling
Real-Time Carbon Emission Monitoring and Prediction Method of Expressway Based on LSTM
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