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ProvableRepresentationLearningforImitation withContrastiveFourierFeatures
Neural Information Processing Systems
Inthiswork,wefocuson imitation learning, where the aim is to learn how to act in the environment to match the behavior of some unknown targetpolicy [25].
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Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits
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Current literature typically assumes that the tasks are diverse, i.e., their parameters uniformly span the
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Implicit Generation and Modeling with Energy Based Models
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Neural Information Processing Systems http://nips.cc/
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A Latent Variational Framework for Stochastic Optimization
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Neural Information Processing Systems http://nips.cc/
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