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An online evolving framework for advancing reinforcement-learning based automated vehicle control
With the latest stochastic model and given criteria, the action-reviser module checks validity of the controller's chosen action by predicting future states.
An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks
Within the framework, the evolving Finite State Machine (e-FSM), which is an online model able to (1) determine states uniquely as needed, (2) recognize states, and (3) identify state-transitions, is introduced.
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