End-to-end Learning for Robust Decision Making
Because the physical world is complex, ambiguous, and unpredictable, autonomous agents must be engineered to exhibit a human-level degree of flexibility and generality — far beyond what we are capable of explicitly programming. Such realizations of autonomy are capable of not only reliably solving a...
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| Формат: | Дисертація |
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Massachusetts Institute of Technology
2022
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| Онлайн доступ: | https://hdl.handle.net/1721.1/144800 |