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pro vyhledávání: '"Gorbet, Rob"'
Deep Reinforcement Learning (DRL) has made tremendous advances in both simulated and real-world robot control tasks in recent years. Nevertheless, applying DRL to novel robot control tasks is still challenging, especially when researchers have to des
Externí odkaz:
http://arxiv.org/abs/2209.04999
A promising characteristic of Deep Reinforcement Learning (DRL) is its capability to learn optimal policy in an end-to-end manner without relying on feature engineering. However, most approaches assume a fully observable state space, i.e. fully obser
Externí odkaz:
http://arxiv.org/abs/2102.12344
Multi-step (also called n-step) methods in reinforcement learning (RL) have been shown to be more efficient than the 1-step method due to faster propagation of the reward signal, both theoretically and empirically, in tasks exploiting tabular represe
Externí odkaz:
http://arxiv.org/abs/2006.12692
Body movements are an important communication medium through which affective states can be discerned. Movements that convey affect can also give machines life-like attributes and help to create a more engaging human-machine interaction. This paper pr
Externí odkaz:
http://arxiv.org/abs/2006.06071
Physical agents that can autonomously generate engaging, life-like behaviour will lead to more responsive and interesting robots and other autonomous systems. Although many advances have been made for one-to-one interactions in well controlled settin
Externí odkaz:
http://arxiv.org/abs/1904.06764
Akademický článek
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Canada’s Living Architecture Systems Group (LASG) combines scientists, engineers, architects and artists working together to create large-scale prototypes of immersive architectural spaces with qualities that come strikingly close to those of livin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d756cfa3277d2d9c1d570b220e7dfc20
Publikováno v:
2016 25th IEEE International Symposium on Robot & Human Interactive Communication (RO-MAN); 2016, p151-158, 8p
Publikováno v:
Dance Notations & Robot Motion; 2016, p25-48, 24p
Publikováno v:
2016 IEEE Integrated STEM Education Conference (ISEC); 2016, p271-277, 7p