221 citations · 935 across the 44 of their papers we have counts for
4 papers · 1 filter
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
Devleena Das, Sonia Chernova, Been Kim
As more non-AI experts use complex AI systems for daily tasks, there has been an increasing effort to develop methods that produce explanations of AI decision making that are under…
Explainable Activity Recognition for Smart Home Systems
Devleena Das, Yasutaka Nishimura, Rajan P. Vivek +4
Smart home environments are designed to provide services that help improve the quality of life for the occupant via a variety of sensors and actuators installed throughout the spac…
Active Learning within Constrained Environments through Imitation of an Expert Questioner
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
Active learning agents typically employ a query selection algorithm which solely considers the agent's learning objectives. However, this may be insufficient in more realistic huma…
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
Angel Daruna, Weiyu Liu, Zsolt Kira +1
Service robots benefit from encoding information in semantically meaningful ways to enable more robust task execution. Prior work has shown multi-relational embeddings can encode s…