符号基础与不完美纠错中的任务学习

Proceedings of Second International Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics Pub Date : 1900-01-01 DOI:10.18653/v1/2021.splurobonlp-1.1

Mattias Appelgren, A. Lascarides

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引用次数: 1

摘要

本文描述了一种在交互式任务学习环境中从教师可能不可靠的纠正反馈中学习的方法。图形化模型利用语篇连贯来共同学习符号基础、领域概念和有效计划。我们的实验表明，尽管老师犯了错误，智能体仍能学习到它的领域级任务。

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Symbol Grounding and Task Learning from Imperfect Corrections

This paper describes a method for learning from a teacher’s potentially unreliable corrective feedback in an interactive task learning setting. The graphical model uses discourse coherence to jointly learn symbol grounding, domain concepts and valid plans. Our experiments show that the agent learns its domain-level task in spite of the teacher’s mistakes.

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Proceedings of Second International Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics

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