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most citedOn Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows

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cs.LG2022

Fail-Safe Adversarial Generative Imitation Learning

Philipp Geiger, Christoph-Nikolas Straehle

For flexible yet safe imitation learning (IL), we propose theory and a modular method, with a safety layer that enables a closed-form probability density/gradient of the safe gener…