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Reinforcement learning-based multi-agent system for network traffic signal control
Deep learning and big data for intelligent transportation : enabling technologies and future trends
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution
Warning systems triggered by trains increase flight-initiation times of wildlife
Deep Reinforcement Learning for Cavity Filter Tuning
Physics-informed regression of implicitly-constrained robot dynamics
Intelligent landing control system for civil aviation aircraft with dual fuzzy neural network
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
A Cooperative Multiagent Approach for Optimal Drone Deployment Using Reinforcement Learning
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation
Kinematic transfer learning of sampling distributions for manipulator motion planning