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cs.LG2019★ 1 cited
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…
cs.LG2019
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…