1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchEric Horvitzhttps://www.microsoft.com/en-us/research/people/horvitz/Metareasoning for Planning Under Uncertainty - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="YRgx5xG3Y1"><a href="https://www.microsoft.com/en-us/research/publication/metareasoning-planning-uncertainty/">Metareasoning for Planning Under Uncertainty</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/metareasoning-planning-uncertainty/embed/#?secret=YRgx5xG3Y1" width="600" height="338" title="“Metareasoning for Planning Under Uncertainty” — Microsoft Research" data-secret="YRgx5xG3Y1" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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The conventional model for online planning under uncertainty assumes that an agent can stop and plan without incurring costs for the time spent planning. However, planning time is not free in most real-world settings. For example, an autonomous drone is subject to nature’s forces, like gravity, even while it thinks, and must either pay a […]