Abstract: Many challenging real-world control problems require adaptation and learning in the presence of uncertainty. Examples of these challenging domains include aircraft adaptive control under ...
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Create issues, break them into sub-issues, track progress, add custom fields, and have conversations. Visualize large projects as tables, boards, or roadmaps, and automate everything with code. Tackle ...
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