Reinforced Imitation in Heterogeneous Action SpaceEI

    Cited by: 0|Bibtex|68|

    arXiv: Learning, 2019.

    Abstract:

    Imitation learning is an effective alternative approach to learn a policy when the reward function is sparse. In this paper, we consider a challenging setting where an agent and an expert use different actions from each other. We assume that the agent has access to a sparse reward function and state-only expert observations. We propose a ...More
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