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Adaptive pinpoint and fuel efficient mars landing using reinforcement learning

contributor authorGaudet, Brian
contributor authorFurfaro, Roberto
date accessioned2020-03-13T00:34:07Z
date available2020-03-13T00:34:07Z
date issued2014
identifier issn2329-9266
identifier other7004667.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1151416?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAdaptive pinpoint and fuel efficient mars landing using reinforcement learning
typeJournal Paper
contenttypeMetadata Only
identifier padid8334968
subject keywordsMonte Carlo methods
subject keywordsadaptive control
subject keywordsaerospace control
subject keywordslearning (artificial intelligence)
subject keywordsspace vehicles
subject keywordstrajectory control
subject keywordsMars landing
subject keywordsMonte Carlo simulation
subject keywordsRL theory
subject keywordsRL-based guidance algorithm
subject keywordsadaptive guidance algorithm
subject keywordsaerospace control
subject keywordsaerospace guidance
subject keywordsautonomous planetary landing
subject keywordsmachine learning techniques
subject keywordsmission requirements
subject keywordsrealtime tracking
subject keywordsreinforcement learning
subject keywordsscience-driven mission
subject keywordstrajectory generation
subject keywordsAlgorithm design and analysis
subject keywordsAtmospheric modeling
identifier doi10.1109/JAS.2014.7004667
journal titleAutomatica Sinica, IEEE/CAA Journal of
journal volume1
journal issue4
filesize993694
citations0


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