Markov decision processes with unknown state feature values for safe exploration using Gaussian processes

Markov decision processes with unknown state feature values for safe exploration using Gaussian processes

When exploring an unknown environment, a mobile robot must decide where to observe next. It must do this whilst minimising the risk of failure, by only exploring areas that it expects to be safe. In this context, safety refers to the robot remaining in regions where critical environment features (e....

Полное описание

Библиографические подробности
Главные авторы:	Budd, M, Lacerda, B, Duckworth, P, West, A, Lennox, B, Hawes, N
Формат:	Conference item
Язык:	English
Опубликовано:	Institute of Electrical and Electronics Engineers 2021

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