Promises of Deep Kernel Learning for Control Synthesis

Robert Reed, Luca Laurenti, Morteza Lahijanian

Deep Kernel Learning (DKL) combines the representational power of neural networks with the uncertainty quantification of Gaussian Processes. Hence, it is potentially a promising to…