Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints

13 Feb 2020Steven CarrNils JansenUfuk Topcu

Recurrent neural networks (RNNs) have emerged as an effective representation of control policies in sequential decision-making problems. However, a major drawback in the application of RNN-based policies is the difficulty in providing formal guarantees on the satisfaction of behavioral specifications, e.g. safety and/or reachability... (read more)

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