Budgeted Reinforcement Learning in Continuous State Space

NeurIPS 2019 Nicolas CarraraEdouard LeurentRomain LarocheTanguy UrvoyOdalric-Ambrym MaillardOlivier Pietquin

A Budgeted Markov Decision Process (BMDP) is an extension of a Markov Decision Process to critical applications requiring safety constraints. It relies on a notion of risk implemented in the shape of a cost signal constrained to lie below an - adjustable - threshold... (read more)

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