This book is concerned with planning and acting under
uncertainty in
partially-observable continuous domains. It focusses
on the problem
of mobile robot navigation given a known map. The
dominant paradigm
for robot localisation is to use Bayesian estimation
to maintain a
probability distribution over possible robot poses.
In contrast,
control algorithms often base their decisions on the
assumption that
the most likely state is correct, rather than
considering the entire
distribution.

This book formulates an approach to planning in the
space of
continuous parameterised approximations...

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If you answered 'yes' to any of these questions, then Mortgage Stressbusters is a must-read. This plain-English, Q&A guide to mortgages and residential property will help you to end mortgage stress once and for all. Not only will you learn how to save money -- and time -- on your mortgage, but you'll also learn the tricks, tips and tactics that...