Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Norman Tasfi"'
Publikováno v:
Robotics, Vol 13, Iss 4, p 63 (2024)
In the world of human–robot coexistence, ensuring safe interactions is crucial. Traditional logic-based methods often lack the intuition required for robots, particularly in complex environments where these methods fail to account for all possible
Externí odkaz:
https://doaj.org/article/70e20e8101234cefa78cc67f97ab2884
Publikováno v:
Knowledge-Based Systems. 267:110401
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e730d00ccf5e5230155180852b9abf31
https://doi.org/10.1016/j.knosys.2023.110401
https://doi.org/10.1016/j.knosys.2023.110401
Autor:
Miriam A. M. Capretz, Norman Tasfi
Publikováno v:
Electrical and Computer Engineering Publications
IJCNN
IJCNN
We introduce Dynamic Planning Networks (DPN), a novel architecture for deep reinforcement learning, that combines model-based and model-free aspects for online planning. Our architecture learns to dynamically construct plans using a learned state-tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7db38b85e29d6ffeb5b9ad19cc1fb18b
https://ir.lib.uwo.ca/electricalpub/191
https://ir.lib.uwo.ca/electricalpub/191
Autor:
Miriam A. M. Capretz, Norman Tasfi
Publikováno v:
Electrical and Computer Engineering Publications
IJCNN
IJCNN
This paper presents Noisy Importance Sampling Actor-Critic (NISAC), a set of empirically validated modifications to the advantage actor-critic algorithm (A2C), allowing off-policy reinforcement learning and increased performance. NISAC uses additive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::146d957e4ff9cf3745a494e8910c3cd2
https://ir.lib.uwo.ca/context/electricalpub/article/1194/viewcontent/Noisy_Importance_Sampling_Actor_Critic_Final_Footnote.pdf
https://ir.lib.uwo.ca/context/electricalpub/article/1194/viewcontent/Noisy_Importance_Sampling_Actor_Critic_Final_Footnote.pdf
Publikováno v:
Electrical and Computer Engineering Publications
iThings/GreenCom/CPSCom/SmartData
iThings/GreenCom/CPSCom/SmartData
The increase in electrical metering has created tremendous quantities of data and, as a result, possibilities for deep insights into energy usage, better energy management, and new ways of energy conservation. As buildings are responsible for a signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa9662b90ed62e03258a7d28cf494562
https://ir.lib.uwo.ca/electricalpub/110
https://ir.lib.uwo.ca/electricalpub/110