IEEE

Human-in-the-loop Learning for Adaptive Robot Manipulation using Large Language Models and Behavior Trees

Abstract: Large Language Models (LLMs) are now transforming the way robots learn to work in unpredictable environments, such as homes or small enterprises. A growing number of approaches are combining ...
IEEE

From Data to Decisions: Assessing the Feasibility and Rationality of Human-in-the-Loop for AI Value Alignment

Abstract: The Human-in-the-Loop (HITL) is a very important approach in machine learning, it tries to integrate human suggestions/judgements with the results from ...