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TowardtheFundamentalLimitsofImitation Learning

Neural Information Processing Systems

We then propose a novel algorithm based on minimum-distance functionals in the setting where the transition model is given and the expert is deterministic.Thealgorithmissuboptimalby .|S|H3/2/N,matchingourlower


SupplementaryMaterial: CARLANE: ALaneDetectionBenchmarkfor UnsupervisedDomainAdaptationfromSimulationto multipleReal-WorldDomains

Neural Information Processing Systems

Does the dataset contain all possible instancesorisitasample(notnecessarilyrandom) of instances from a larger set? If the dataset is a sample, then what is the larger set? Is the sample representative of the larger set (e.g., geographic coverage)? If so, please describe how this representativeness was validated/verified.