… task learning is also developing an understanding of the limits of the interaction-based approach
to task learning… Effective Task Learning The primary goal of an interactive task learner is …

… role in human learning and knowledge acquisition. … learn directly from human partners
becomes increasingly important. This paper gives a brief introduction to interactive task learning …

… that compile the task specifications into the target language, so they are not integrated
into an agent that supports dynamic continuous learning (D5) or interactive task specification. …

… Interactive Task Learning (ITL) focuses on learning the definition of tasks through online
natural language instruction in real time. Learning … We present a learning strategy embodied in …

… goal of the research problem of Interactive Task Learning (ITL) to leverage this teaching
ability to develop agents that learn new tasks from humans through natural forms of interaction. …

… This paper considers language grounding within the context of Interactive Task Learning (ITL;
Laird et al., 2017), where the goal is to teach an intelligent agent new tasks and extend …

… Abstract—Multi-task learning (MTL) is a learning paradigm that provides a principled way
to improve the generalization performance of a set of related machine learning tasks by …

… Interactive task learning (ITL) is an emerging research topic that focuses on enabling task
automation agents to learn … concepts through natural interaction with human users (Laird et al.…

… bidirectional analysis of an interactive teaching study (N=10) … Interactive Task Learning
(ITL) [1]. ITL relies on the fact that people naturally engage in interactive teaching and learning, …

… learning from demonstration [1], hierarchical task learning, interactive task learning and
learning from a single task … Research on hierarchical task learning includes both learning from …