5 datasets found

Tags: Policy Learning

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  • Interactive Scoring IRL

    The dataset used in the paper is a set of trajectories and scores provided by human teachers to train a behavioral policy in a sparse reward environment.
  • Inverted Pendulum

    The dataset used in the paper is an Inverted Pendulum dataset, which is a standard benchmark system in control and reinforcement learning.
  • IsaacGym

    The dataset is used to train the Make-An-Agent model, a novel policy parameter generator that leverages the power of conditional diffusion models for behavior-to-policy generation.
  • Robosuite

    The dataset is used to train the Make-An-Agent model, a novel policy parameter generator that leverages the power of conditional diffusion models for behavior-to-policy generation.
  • MetaWorld

    The dataset is used to train the Make-An-Agent model, a novel policy parameter generator that leverages the power of conditional diffusion models for behavior-to-policy generation.
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