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Communication Dans Un Congrès Année : 2023

Towards Teaching High-Level Behaviors to a Robotic Agent

Résumé

Developing robust autonomous agents require complex execution architectures operating at several levels of abstraction in order to keep the acting problem tractable. While there is a growing body of work focused on learning models at the sensory-motor level, the same cannot be said for high-level models enabling deliberative functions. In this paper, we identify the possibilities that can be offered by a learning system integrating human input for learning hierarchical operational models and present a learning algorithm that could provide a missing component for such a system.
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Dates et versions

hal-04016861 , version 1 (06-03-2023)

Identifiants

  • HAL Id : hal-04016861 , version 1

Citer

Philippe Hérail, Arthur Bit-Monnot. Towards Teaching High-Level Behaviors to a Robotic Agent. HRI Human-Interactive Robot Learning Workshop (HIRL), Mar 2023, Stockholm, Sweden. ⟨hal-04016861⟩
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