2015 article

Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning

Loftin, R., Peng, B., MacGlashan, J., Littman, M. L., Taylor, M. E., Huang, J., & Roberts, D. L. (2015, February 12). Autonomous Agents and Multi-Agent Systems.

author keywords: Learning from feedback; Reinforcement learning; Bayesian inference; Interactive learning; Machine learning; Human-computer interaction
topics (OpenAlex): Reinforcement Learning in Robotics; Mobile Crowdsensing and Crowdsourcing; Artificial Intelligence in Games
TL;DR: A probabilistic model of trainer feedback is presented that describes how a trainer chooses to provide explicit reward and/or explicit punishment and two novel learning algorithms are developed which take trainer strategy into account, and can therefore learn from cases where no feedback is provided. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 article

Toward Cyber-Enhanced Working Dogs for Search and Rescue

Bozkurt, A., Roberts, D. L., Sherman, B. L., Brugarolas, R., Mealin, S., Majikes, J., … Loftin, R. (2014, October 1). IEEE Intelligent Systems, Vol. 29, pp. 32–39.

By: A. Bozkurt n, D. Roberts n, B. Sherman n, R. Brugarolas n, S. Mealin n, J. Majikes n, P. Yang n, R. Loftin n

topics (OpenAlex): Robotics and Automated Systems; Context-Aware Activity Recognition Systems; IoT-based Smart Home Systems
TL;DR: The authors introduce the fundamental building blocks for a cyber-enabled, computer-mediated communication platform to connect human and canine intelligence to achieve a new generation of Cyber-Enhanced Working Dog (CEWD). (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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