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of 122
pro vyhledávání: '"Malhamé, Roland"'
Autor:
Gao, Shuang, Malhamé, Roland P.
This paper studies a class of linear quadratic mean field games where the coefficients of quadratic cost functions depend on both the mean and the variance of the population's state distribution through its quantile function. Such a formulation allow
Externí odkaz:
http://arxiv.org/abs/2411.01668
This paper investigates the social optimum for a dynamic linear quadratic collective choice problem where a group of agents choose among multiple alternatives or destinations. The agents' common objective is to minimize the average cost of the entire
Externí odkaz:
http://arxiv.org/abs/2403.10612
Publikováno v:
In Automatica February 2024 160
Akademický článek
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Akademický článek
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In this paper, we investigate a class of nonzero-sum dynamic stochastic games, where players have linear dynamics and quadratic cost functions. The players are coupled in both dynamics and cost through a linear regression (weighted average) as well a
Externí odkaz:
http://arxiv.org/abs/1912.03931
Pressure on ancillary reserves, i.e.frequency preserving, in power systems has significantly mounted due to the recent generalized increase of the fraction of (highly fluctuating) wind and solar energy sources in grid generation mixes. The energy sto
Externí odkaz:
http://arxiv.org/abs/1803.00040
We consider a dynamic collective choice problem where a large number of players are cooperatively choosing between multiple destinations while being influenced by the behavior of the group. For example, in a robotic swarm exploring a new environment,
Externí odkaz:
http://arxiv.org/abs/1606.05272
We consider a class of dynamic collective choice models with social interactions, whereby a large number of non-uniform agents have to individually settle on one of multiple discrete alternative choices, with the relevance of their would-be choices c
Externí odkaz:
http://arxiv.org/abs/1604.08136
Autor:
Toquica, David, Agbossou, Kodjo, Henao, Nilson, Malhamé, Roland, Kelouwani, Sousso, Amara, Fatima
Publikováno v:
In Smart Energy May 2021 2