Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...
Abstract: In this article, a strategy combining reinforcement learning (RL) and model predictive control (MPC) is proposed to achieve the integrated planning and control in static unknown environment.
The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...
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