FLEXplore combines an L2 dynamics loss with a Wasserstein-style critic loss, FGSM reward smoothing, and a mutual-information auxiliary reward to improve sample efficiency in parameterized-action MDPs.
Making better decision by directly planning in continuous control,
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Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes
FLEXplore combines an L2 dynamics loss with a Wasserstein-style critic loss, FGSM reward smoothing, and a mutual-information auxiliary reward to improve sample efficiency in parameterized-action MDPs.