Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning

8 Nov 2019Matt BenatanEdward O. Pyzer-Knapp

Reinforcement Learning (RL) has demonstrated state-of-the-art results in a number of autonomous system applications, however many of the underlying algorithms rely on black-box predictions. This results in poor explainability of the behaviour of these systems, raising concerns as to their use in safety-critical applications... (read more)

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