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Efficient planning under uncertainty with macro-actions

Journal of Artificial Intelligence Research, no. 1 (2014): 523-570

被引用97|浏览12
EI

摘要

Deciding how to act in partially observable environments remains an active area of research. Identifying good sequences of decisions is particularly challenging when good control performance requires planning multiple steps into the future in domains with many states. Towards addressing this challenge, we present an online, forward-search...更多

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