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Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
In this paper we present an adaptive search method for efficiently generating contrasting behaviour summaries with support for continuous state and action spaces.
Scheduling for Urban Air Mobility using Safe Learning
This work considers the scheduling problem for Urban Air Mobility (UAM) vehicles travelling between origin-destination pairs with both hard and soft trip deadlines.
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