Open AccessLB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract)
Author(s) -
Chenyang Wu,
Rui Kong,
GuoYu Yang,
Xianghan Kong,
Zongzhang Zhang,
Yang Yu,
Dong Liu,
Wulong Liu
Publication year - 2021
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i18.17960
Subject(s) - partially observable markov decision process , benchmark (surveying) , action (physics) , computer science , upper and lower bounds , scalability , selection (genetic algorithm) , action selection , process (computing) , state (computer science) , markov decision process , artificial intelligence , mathematical optimization , markov process , markov chain , machine learning , markov model , mathematics , algorithm , statistics , psychology , geography , database , mathematical analysis , operating system , geodesy , quantum mechanics , perception , physics , neuroscience