Searched for: subject:"interaction"
(1 - 4 of 4)
document
Li, G. (author), Hung, H. (author), Bradley Knox, W. (author), Whiteson, S.A. (author)
Learning from rewards generated by a human trainer ob- serving the agent in action has been demonstrated to be an effective method for humans to teach an agent to perform challenging tasks. However, how to make the agent learn most efficiently from these kinds of human reward is still under-addressed. In this paper, we investigate the effect of...
journal article 2014
document
Lehmann-Willenbrock, Nale (author), Hung, H.S. (author), Keyton, Joann (author)
This special issue on advancing interdisciplinary collaboration between computer scientists and social scientists documents the joint results of the international Lorentz workshop, “Interdisciplinary Insights into Group and Team Dynamics,” which took place in Leiden, The Netherlands, July 2016. An equal number of scholars from social and...
journal article 2017
document
Murray, Gabriel (author), Hung, H.S. (author), Keyton, Joann (author), Lai, Catherine (author), Lehmann-Willenbrock, Nale (author), Oertel, Catharine (author)
Over the last decade, the study of group behavior for multimodal interaction technologies has increased. However, we believe that despite its potential benefits on society, there could be more activity in this area. The aim of this workshop is create a forum for more interdisciplinary dialogue on this topic to enable the acceleration of...
conference paper 2018
document
Li, Guangliang (author), Whiteson, Shimon (author), Bradley Knox, W (author), Hung, H.S. (author)
Learning from rewards generated by a human trainer observing an agent in action has been proven to be a powerful method for teaching autonomous agents to perform challenging tasks, especially for those non-technical users. Since the efficacy of this approach depends critically on the reward the trainer provides, we consider how the...
journal article 2018
Searched for: subject:"interaction"
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