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Filtering by: Committee Member Tadepalli, Prasad Contributor Fern, Alan P. Language English [eng]

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