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....

Podrobná bibliografie
Hlavní autoři:	Budd, M, Lacerda, B, Duckworth, P, West, A, Lennox, B, Hawes, N
Médium:	Conference item
Jazyk:	English
Vydáno:	Institute of Electrical and Electronics Engineers 2021

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