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Rapid learning of complex sequences with time constraints: A dynamic neural field model
MULTI-AGENT REINFORCEMENT LEARNING WITH APPLICATION ON TRAFFIC FLOW CONTROL
On fuzziness in algebraic system of aggregates
A study of vehicle fatigue damage predictions based on state estimations
Differential Equation Based Framework for Deep Reinforcement Learning
Design and Testing of Two Haptic Devices Based on Reconfigurable 2R Joints
A novel universal torque control of switched reluctance motors for electric vehicles
Aircraft path planning for UAM applications
Development and validation of a driving simulator for traffic control using field data
Vehicle fatigue damage prediction based on estimated strains and road measurements