Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Sven Magg"'
Publikováno v:
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence
Ensemble methods, traditionally built with independently trained de-correlated models, have proven to be efficient methods for reducing the remaining residual generalization error, which results in robust and accurate methods for real-world applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8660eb1a74a65f1c2fd6ab014ad15ac4
https://doi.org/10.1609/aaai.v34i04.6037
https://doi.org/10.1609/aaai.v34i04.6037
One-step reinforcement learning explanation methods account for individual actions but fail to consider the agents future behavior, which can make their interpretation ambiguous. We propose to address this limitation by providing hierarchical goals a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49f2fa594271ad883129eaa0fb1a11b6
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185257
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185257
Autor:
Stefan Wermter, Henrique Siqueira, Alexander Sutherland, Mattias Kerzel, Pablo Barros, Sven Magg
Publikováno v:
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)
Humanoids
Humanoids
Effectively recognising and applying emotions to interactions is a highly desirable trait for social robots. Implicitly understanding how subjects experience different kinds of actions and objects in the world is crucial for natural HRI interactions,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2a8383f09242aa31ba27aab86b9204e
http://arxiv.org/abs/2103.03940
http://arxiv.org/abs/2103.03940
Publikováno v:
IROS
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Social robots able to continually learn facial expressions could progressively improve their emotion recognition capability towards people interacting with them. Semi-supervised learning through ensemble predictions is an efficient strategy to levera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c93b36d5f33f6c2150c1903caad4a98
http://arxiv.org/abs/2103.03934
http://arxiv.org/abs/2103.03934
Autor:
Stefan Wermter, Antonio Andriella, Sven Magg, Carme Torras, Henrique Siqueira, Di Fu, Pablo Barros, Guillem Alenyà
Publikováno v:
International Journal of Social Robotics
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Recent studies have revealed the key importance of modelling personality in robots to improve interaction quality by empowering them with social-intelligence capabilities. Most research relies on verbal and non-verbal features related to personality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ae90acc7e6c53b8bcb8f97aecbcf2df
Publikováno v:
2019 International Joint Conference on Neural Networks (IJCNN)
Explaining the outcome of deep learning decisions based on affect is challenging but necessary if we expect social companion robots to interact with users on an emotional level. In this paper, we present a commonsense approach that utilizes an interp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcd3b50af8783ee226d3fa23de5aba25
Autor:
Stefan Wermter, Sven Magg
Publikováno v:
Impact. 2018:29-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7baa3b9d2d8a3a6bef5d7c84adc92fef
https://doi.org/10.21820/23987073.2018.29
https://doi.org/10.21820/23987073.2018.29
Publikováno v:
ICDL-EPIROB
Deep reinforcement learning has recently gained a focus on problems where policy or value functions are based on universal value function approximators (UVFAs) which renders them independent of goals. Evidence exists that the sampling of goals has a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f1b700e753767febde4e6ed019c6310
https://doi.org/10.1109/devlrn.2019.8850721
https://doi.org/10.1109/devlrn.2019.8850721
Publikováno v:
ICRA
2019 International Conference on Robotics and Automation (ICRA)
2019 International Conference on Robotics and Automation (ICRA)
Previous work on emotion recognition demonstrated a synergistic effect of combining several modalities such as auditory, visual, and transcribed text to estimate the affective state of a speaker. Among these, the linguistic modality is crucial for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45c2725c29cfca036df90d1f8c3e15c
https://doi.org/10.1109/icra.2019.8794468
https://doi.org/10.1109/icra.2019.8794468
Interactive reinforcement learning has become an important apprenticeship approach to speed up convergence in classic reinforcement learning problems. In this regard, a variant of interactive reinforcement learning is policy shaping which uses a pare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25d5d632bc63dbbb9d7348ab2b02dc04