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Optimal Coordination of Automated Vehicles at Intersections
The dataset used in the paper is a set of data for the optimal coordination of automated vehicles at intersections. It includes the state and control trajectories of the... -
Reinforcement Learning-based Control of Nonlinear Systems using Carleman Appr...
We develop data-driven reinforcement learning (RL) control designs for input-affine nonlinear systems. We use Carleman linearization to express the state-space representation of...
