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Speeding Up Optimization-based Motion Planning through Deep Learning
Simultaneous Learning Optimization of Hamiltonian Systems and Trajectory Tracking Around an Asteroid
Simulation-driven design of a fast monohull
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry
Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals
Road identification in monocular color images using random forest and color correlogram
Research on Intelligent Decision Based on Compound Traffic Field
Representation Learning for Robot Keypoint Detection using Prior Kinematic Knowledge
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys
Reinforcement learning-enabled genetic algorithm for school bus scheduling
Reinforcement Learning-based Traffic Control: Mitigating the Adverse Impacts of Control Transitions