Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Scobee, Dexter R. R."'
Robots need models of human behavior for both inferring human goals and preferences, and predicting what people will do. A common model is the Boltzmann noisily-rational decision model, which assumes people approximately optimize a reward function an
Externí odkaz:
http://arxiv.org/abs/2001.04465
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on estimating a reward function that best explains an expert agent's policy or demonstrated behavior on a control task, it is often the case that such behavior is more
Externí odkaz:
http://arxiv.org/abs/1909.05477
When a human supervisor collaborates with a team of robots, their attention is divided and cognitive resources are at a premium. We aim to optimize the distribution of these resources and the flow of attention. To this end, we propose the model of an
Externí odkaz:
http://arxiv.org/abs/1805.03328
Autor:
George, Thomas, Dutta, Achyut K., Islam, M. Saif, Robinson, Ryan M., Scobee, Dexter R. R., Burden, Samuel A., Sastry, S. Shankar
Publikováno v:
Proceedings of SPIE; May 2016, Vol. 9836 Issue: 1 p98361X-98361X-20, 9737760p
