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pro vyhledávání: '"Chli, Maria"'
Traffic congestion in urban areas presents significant challenges, and Intelligent Transportation Systems (ITS) have sought to address these via automated and adaptive controls. However, these systems often struggle to transfer simulated experiences
Externí odkaz:
http://arxiv.org/abs/2312.05031
We consider an outsourcing problem where a software agent procures multiple services from providers with uncertain reliabilities to complete a computational task before a strict deadline. The service consumer requires a procurement strategy that achi
Externí odkaz:
http://arxiv.org/abs/2110.12846
Deep reinforcement learning agents have recently been successful across a variety of discrete and continuous control tasks; however, they can be slow to train and require a large number of interactions with the environment to learn a suitable policy.
Externí odkaz:
http://arxiv.org/abs/1812.07452
Autor:
Chli, Maria, De Wilde, Philippe
We investigate knowledge exchange among commercial organisations, the rationale behind it and its effects on the market. Knowledge exchange is known to be beneficial for industry, but in order to explain it, authors have used high level concepts like
Externí odkaz:
http://arxiv.org/abs/cs/0604078
Publikováno v:
In Appetite 1 October 2023 189
Akademický článek
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Autor:
Chli, Maria, De Wilde, Philippe
Publikováno v:
In Applied Soft Computing Journal 2006 6(4):372-383
Autor:
Winsper, Michael1, Chli, Maria1
Publikováno v:
Computational Intelligence. May2013, Vol. 29 Issue 2, p281-309. 29p.
This paper details the development and evaluation of AstonTAC, an energy broker that successfully participated in the 2012 Power Trading Agent Competition (Power TAC). AstonTAC buys electrical energy from the wholesale market and sells it in the reta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::98203285a9c7c4239fc9d4914e037e90
https://publications.aston.ac.uk/id/eprint/27045/1/ijcai13_MDP.pdf
https://publications.aston.ac.uk/id/eprint/27045/1/ijcai13_MDP.pdf