Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Nagai Yukie"'
Policy optimization methods benefit from a simple and tractable policy parametrization, usually the Gaussian for continuous action spaces. In this paper, we consider a broader policy family that remains tractable: the $q$-exponential family. This fam
Externí odkaz:
http://arxiv.org/abs/2408.07245
Publikováno v:
Paladyn, Vol 10, Iss 1, Pp 256-266 (2019)
In social interactions, human movement is a rich source of information for all those who take part in the collaboration. In fact, a variety of intuitive messages are communicated through motion and continuously inform the partners about the future un
Externí odkaz:
https://doaj.org/article/45e45305e98647e4b94285cb47a53fc2
Affordances represent the inherent effect and action possibilities that objects offer to the agents within a given context. From a theoretical viewpoint, affordances bridge the gap between effect and action, providing a functional understanding of th
Externí odkaz:
http://arxiv.org/abs/2404.15648
Publikováno v:
IEEE Robotics and Automation Letters ( Volume: 9, Issue: 5, May 2024)
We observe a large variety of robots in terms of their bodies, sensors, and actuators. Given the commonalities in the skill sets, teaching each skill to each different robot independently is inefficient and not scalable when the large variety in the
Externí odkaz:
http://arxiv.org/abs/2310.13458
Publikováno v:
Paladyn, Vol 7, Iss 1 (2016)
Humans can express their own emotion and estimate the emotional states of others during communication. This paper proposes a unified model that can estimate the emotional states of others and generate emotional self-expressions. The proposed model ut
Externí odkaz:
https://doaj.org/article/cdf184a1a20c42c69b462c4d5aaf8911
Autor:
Tsfasman, Maria, Philippsen, Anja, Mazzola, Carlo, Thill, Serge, Sciutti, Alessandra, Nagai, Yukie
Human perception and behavior are affected by the situational context, in particular during social interactions. A recent study demonstrated that humans perceive visual stimuli differently depending on whether they do the task by themselves or togeth
Externí odkaz:
http://arxiv.org/abs/2203.01862
Publikováno v:
In Neural Networks September 2024 177
Publikováno v:
In Acta Psychologica March 2024 243
One effective approach for equipping artificial agents with sensorimotor skills is to use self-exploration. To do this efficiently is critical, as time and data collection are costly. In this study, we propose an exploration mechanism that blends act
Externí odkaz:
http://arxiv.org/abs/2008.11503
Publikováno v:
In Brain Research 1 December 2023 1820