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Filtering by: Creator Moser, Jennifer C. Remove constraint Creator: Moser, Jennifer C. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Contributor Koul, Anurag Remove constraint Contributor: Koul, Anurag

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  • Re-understanding Finite-State Representations of Recurrent Policy Networks

    Creator:
    Danesh, Mohamad H.
    Abstract:
    We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    finite states and observations. c) Interpretable reductions (Section 3.3.1) are applied to the MM