Strasbourg gets the vote for 'Frontiers' HQ
نویسندگان
چکیده
منابع مشابه
HQ-Learning
HQ-learning is a hierarchical extension of Q()-learning designed to solve certain types of partially observable Markov decision problems (POMDPs). HQ automatically decomposes POMDPs into sequences of simpler subtasks that can be solved by memoryless policies learn-able by reactive subagents. HQ can solve partially observable mazes with more states than those used in most previous POMDP work.
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ژورنال
عنوان ژورنال: Nature
سال: 1989
ISSN: 0028-0836,1476-4687
DOI: 10.1038/340329a0