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pro vyhledávání: '"Cullen, Jonathan M"'
Zero-shot reinforcement learning (RL) promises to provide agents that can perform any task in an environment after an offline, reward-free pre-training phase. Methods leveraging successor measures and successor features have shown strong performance
Externí odkaz:
http://arxiv.org/abs/2309.15178
Heating and cooling systems in buildings account for 31\% of global energy use, much of which are regulated by Rule Based Controllers (RBCs) that neither maximise energy efficiency nor minimise emissions by interacting optimally with the grid. Contro
Externí odkaz:
http://arxiv.org/abs/2208.06385
Publikováno v:
In Journal of Cleaner Production 15 December 2024 484
Publikováno v:
In Energy Research & Social Science December 2024 118
Publikováno v:
In Journal of Cleaner Production 1 December 2024 482
Autor:
Murray, James W., Jin, Xiaoliang, Cleaver, Christopher J., Azevedo, Jose M.C., Liao, Zhirong, Zhou, Wenbin, Cullen, Jonathan M., Allwood, Julian M., Clare, Adam T.
Publikováno v:
In Journal of Materials Processing Tech. October 2024 331
Publikováno v:
In Resources, Conservation & Recycling October 2024 209
The calculation of next-to-leading order (NLO) perturbative corrections at fixed operator dimension in Standard Model Effective Field Theory (SMEFT) has been a topic of much recent interest. In this paper we obtain the NLO corrections from dimension-
Externí odkaz:
http://arxiv.org/abs/2007.15238
Akademický článek
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Autor:
Drewniok, Michał P., Azevedo, José Manuel Cruz, Dunant, Cyrille F., Allwood, Julian M., Cullen, Jonathan M., Ibell, Tim, Hawkins, Will
Publikováno v:
In Resources, Conservation & Recycling October 2023 197