16 citations · 28 across the 10 of their papers we have counts for
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cs.AI2019
Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans
Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni +2
One of the major limitations for the employment of model-based planning and scheduling in practical applications is the need of costly re-planning when an incongruence between the…
cs.AI2019★ 16 cited
Towards Explainable AI Planning as a Service
Michael Cashmore, Anna Collins, Benjamin Krarup +3
Explainable AI is an important area of research within which Explainable Planning is an emerging topic. In this paper, we argue that Explainable Planning can be designed as a servi…