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Using Human Reinforcement Learning Models to Improve Robots..:
, In:
Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
,
Roy, Sayanti
;
Kieson, Emily
;
Abramson, Charles
. - p. 225-226 , 2018
Link:
https://dl.acm.org/doi/10.1145/3173386.3177074
RT T1 <cTitle>Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction</cTitle>: T1 <Title>Using Human Reinforcement Learning Models to Improve Robots as Teachers</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3177074&Exemplar=1&LAN=DE A1 Roy, Sayanti A1 Kieson, Emily A1 Abramson, Charles A1 Crick, Christopher PB ACM YR 2018 K1 learning from demonstration K1 robotic teaching K1 Human-centered computing K1 Human computer interaction (HCI) K1 Interaction paradigms K1 Collaborative interaction K1 Computing methodologies K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Cognitive robotics K1 Empirical studies in HCI K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Apprenticeship learning SP 225 OP 226 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3173386.3177074 DO https://dl.acm.org/doi/10.1145/3173386.3177074 SF ELIB - SuUB Bremen
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