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....
| Hlavní autoři: | , , , , , |
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| Médium: | Conference item |
| Jazyk: | English |
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Institute of Electrical and Electronics Engineers
2021
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