Certifiable Safe Model-Based Reinforcement Learning with Control-Affine Dynamics Approximation
A model-free, efficient uncertainty quantification method using adaptive conformal prediction (ACP) is applied to quantify the uncertainty in the safety constraint arising from the learned control-affine dynamics, which allows for data-driven safety assurance amenable to principled and efficient controller synthesis wi...