Zobrazeno 1 - 10
of 66 486
pro vyhledávání: '"Giorgia, A."'
Autor:
Freihaut, Till, Ramponi, Giorgia
In multi-agent systems, the agent behavior is highly influenced by its utility function, as these utilities shape both individual goals as well as interactions with the other agents. Inverse Reinforcement Learning (IRL) is a well-established approach
Externí odkaz:
http://arxiv.org/abs/2411.15046
Autor:
Assaf, Dorit, Adorni, Giorgia, Lutz, Elia, Negrini, Lucio, Piatti, Alberto, Mondada, Francesco, Mangili, Francesca, Gambardella, Luca Maria
This paper addresses the incorporation of problem decomposition skills as an important component of computational thinking (CT) in K-12 computer science (CS) education. Despite the growing integration of CS in schools, there is a lack of consensus on
Externí odkaz:
http://arxiv.org/abs/2411.14945
Non-equilibrium molecular dynamics (NEMD) simulations of fluid flow have highlighted the peculiarities of nanoscale flows compared to classical fluid mechanics. In particular, boundary conditions can deviate from the no-slip behavior at macroscopic s
Externí odkaz:
http://arxiv.org/abs/2411.04882
The representations that can be defined starting from positive sesquilinear maps {\Phi} with values in an ordered Banach module are essentially of two types: if {\Phi} is positive, a natural generalization follows the path of the GNS construction; if
Externí odkaz:
http://arxiv.org/abs/2410.24113
Pricing algorithms have demonstrated the capability to learn tacit collusion that is largely unaddressed by current regulations. Their increasing use in markets, including oligopolistic industries with a history of collusion, calls for closer examina
Externí odkaz:
http://arxiv.org/abs/2410.18871
In this paper, we establish the global convergence of the actor-critic algorithm with a significantly improved sample complexity of $O(\epsilon^{-3})$, advancing beyond the existing local convergence results. Previous works provide local convergence
Externí odkaz:
http://arxiv.org/abs/2410.08868
We frame dynamic persuasion in a partial observation stochastic control Leader-Follower game with an ergodic criterion. The Receiver controls the dynamics of a multidimensional unobserved state process. Information is provided to the Receiver through
Externí odkaz:
http://arxiv.org/abs/2410.07735
Autor:
Fusco, Denzel, Xypakis, Emmanouil, Gigante, Ylenia, Mautone, Lorenza, Di Angelantonio, Silvia, Ponsi, Giorgia, Ruocco, Giancarlo, Leonetti, Marco
In Super-resolution, a varying-illumination image stack is required. This enriched the dataset typically necessitates precise mechanical control and micron scale optical alignment and repeatability. Here, we introduce a novel methodology for super-re
Externí odkaz:
http://arxiv.org/abs/2409.16006
We constrain dark energy and modified gravity within the effective field theory of dark energy framework using the full-shape BOSS galaxy power spectrum, combined with Planck cosmic microwave background (CMB) data and recent baryon acoustic oscillati
Externí odkaz:
http://arxiv.org/abs/2409.08971
Real-world applications may be affected by outlying values. In the model-based clustering literature, several methodologies have been proposed to detect units that deviate from the majority of the data (rowwise outliers) and trim them from the parame
Externí odkaz:
http://arxiv.org/abs/2409.07881