Zobrazeno 1 - 10
of 4 582
pro vyhledávání: '"Ramponi, 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
The effects of trees on urban flows are often determined using computational fluid dynamics approaches which typically use a quadratic drag formulation based on the leaf-area density $a$ and a volumetric drag coefficient $C_{d}^V$ to model vegetation
Externí odkaz:
http://arxiv.org/abs/2411.01570
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
Autor:
Rossini, R., Baldazzi, G., Banfi, S., Baruzzo, M., Benocci, R., Bertoni, R., Bonesini, M., Carsi, S., Cirrincione, D., Clemenza, M., Colace, L., de Bari, A., de Vecchi, C., Fasci, E., Gaigher, R., Gianfrani, L., Hillier, A. D., Ishida, K., King, P. J. C., Lord, J. S., Mazza, R., Menegolli, A., Mocchiutti, E., Monzani, S., Moretti, L., Petroselli, C., Pizzolotto, C., Prata, M. C., Pullia, M., Quintieri, L., Ramponi, R., Rossella, M., Sbrizzi, A., Toci, G., Tortora, L., Vallazza, E. S., Yokoyama, K., Vacchi, A.
Publikováno v:
Front. Detect. Sci. Technol., 05 August 2024 Volume 2 - 2024
FAMU is an INFN-led muonic atom physics experiment based at the RIKEN-RAL muon facility at the ISIS Neutron and Muon Source (United Kingdom). The aim of FAMU is to measure the hyperfine splitting in muonic hydrogen to determine the value of the proto
Externí odkaz:
http://arxiv.org/abs/2410.07257
Autor:
Kotsedi, L., Abdelmalek, A., Bharadwaj, V., Mtshali, C. B., Nuru, Z. Y., Sotillo, B., Coccia, G., Eaton, S. M., Ramponi, R., Amara, El-H., Maaza, M.
The study of the relaxation mechanism of amorphous germanium after femtosecond laser irradiation is presented in this work. In particular, a thin germanium coating was deposited onto a glass substrate through the electron beam vacuum coating method.
Externí odkaz:
http://arxiv.org/abs/2408.11354
Autor:
Shahbazi, Sajedeh, Coccia, Giulio, Lang, Johannes, Bharadwaj, Vibhav, Jelezko, Fedor, Ramponi, Roberta, Bennett, Anthony J., Hadden, John P., Eaton, Shane M., Kubanek, Alexander
On-chip magnetic field sensing with Nitrogen-Vacancy (NV) centers in diamond requires scalable integration of 3D waveguides into diamond substrates. Here, we develop a sensing array device with an ensemble of shallow implanted NV centers integrated w
Externí odkaz:
http://arxiv.org/abs/2407.18711
Applying reinforcement learning (RL) to real-world problems is often made challenging by the inability to interact with the environment and the difficulty of designing reward functions. Offline RL addresses the first challenge by considering access t
Externí odkaz:
http://arxiv.org/abs/2406.18450
Exploring and understanding language data is a fundamental stage in all areas dealing with human language. It allows NLP practitioners to uncover quality concerns and harmful biases in data before training, and helps linguists and social scientists t
Externí odkaz:
http://arxiv.org/abs/2406.17647
In various applications, the optimal policy in a strategic decision-making problem depends both on the environmental configuration and exogenous events. For these settings, we introduce Bilevel Optimization with Contextual Markov Decision Processes (
Externí odkaz:
http://arxiv.org/abs/2406.01575