Llm-assist: Enhancing closed-loop planning with language-based reasoning
Nom
Auteurs
Journal
Date_de_publication
DOI
Citation
Type
Mots_cles
lienOrigine
Lien_Google_Drive
Abstract
Objectif_de_l_etude
Methodologie
Conclusions_de_l_etude
Pertinence_axe_1
Pertinence_axe_2
Pertinence_axe_3
Pertinence_objectif_recherche
Axe_de_travail
Selection
Apports_et_contributions
Verbatims_apports_contributions
Extraits_Verbatim_Verrous
Verrous_de_l_etude
Donnees_chiffrees
Date_de_creation
Date_de_derniere_modification
PreviousLLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space ExplorationNextPersonal llm agents: Insights and survey about the capability, efficiency and security
Last updated