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Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles
Deep recurrent neural networks for abstractive text summarization
Adaptive fuzzy control of satellite attitude by reinforcement learning
Autonomous situation awareness through threat data integration
A MAS architecture for dynamic, realtime rescheduling and learning applied to railway transportation
Kernel regression for travel time estimation via convex optimization
Selbstlernende Algorithmen zur videobasierten Absichtserkennung von Fußgängern
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
An Agent-Based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles
Innovation Paths for Machine Learning in Robotics
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