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    Manipulating state space distributions for sample-efficient imitation-learning 

    Schroecker, Yannick Karl Daniel (Georgia Institute of Technology, 2020-03-16)
    Imitation learning has emerged as one of the most effective approaches to train agents to act intelligently in unstructured and unknown domains. On its own or in combination with reinforcement learning, it enables agents ...

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    Author
    Schroecker, Yannick Karl Daniel (1)
    Subject
    Artificial intelligence (1)
    Deep learning (1)
    Imitation learning (1)
    Machine learning (1)
    Reinforcement learning (1)
    ... View MoreDate Issued
    2020 (1)
    Has File(s)
    Yes (1)
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