2016 journal article

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

AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 30(1), 30–59.

By: R. Loftin n, B. Peng*, J. MacGlashan*, M. Littman*, M. Taylor*, J. Huang*, D. Roberts n

author keywords: Learning from feedback; Reinforcement learning; Bayesian inference; Interactive learning; Machine learning; Human-computer interaction
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 journal article

Toward Cyber-Enhanced Working Dogs for Search and Rescue

IEEE INTELLIGENT SYSTEMS, 29(6), 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

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)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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