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pro vyhledávání: '"Martins, Nuno"'
Recent work has pioneered the use of system-theoretic passivity to study equilibrium stability for the dynamics of noncooperative strategic interactions in large populations of learning agents. In this and related works, the stability analysis levera
Externí odkaz:
http://arxiv.org/abs/2407.02083
We consider a large population of learning agents noncooperatively selecting strategies from a common set, influencing the dynamics of an exogenous system (ES) we seek to stabilize at a desired equilibrium. Our approach is to design a dynamic payoff
Externí odkaz:
http://arxiv.org/abs/2403.18164
This paper proposes an approach to mitigate epidemic spread in a population of strategic agents by encouraging safer behaviors through carefully designed rewards. These rewards, which vary according to the state of the epidemic, are ascribed by a dyn
Externí odkaz:
http://arxiv.org/abs/2401.15475
Autor:
Kara, Semih, Martins, Nuno C.
Population games model the evolution of strategic interactions among a large number of uniform agents. Due to the agents' uniformity and quantity, their aggregate strategic choices can be approximated by the solutions of a class of ordinary different
Externí odkaz:
http://arxiv.org/abs/2312.07598
Microscopy images are crucial for life science research, allowing detailed inspection and characterization of cellular and tissue-level structures and functions. However, microscopy data are unavoidably affected by image degradations, such as noise,
Externí odkaz:
http://arxiv.org/abs/2308.08365