Zobrazeno 1 - 10
of 14 546
pro vyhledávání: '"PAPINI, A."'
Autor:
Crossfield, Ian J. M., Polanski, Alex S., Robertson, Paul, Murphy, Joseph Akana, Turtelboom, Emma V., Luque, Rafael, Beatty, Thomas, Daylan, Tansu, Isaacson, Howard, Brande, Jonathan, Kreidberg, Laura, Batalha, Natalie M., Huber, Daniel, Rhem, Maleah, Dressing, Courtney, Kane, Stephen R., Bossett, Malik, Gagnebin, Anna, Kroft, Maxwell A., Premnath, Pranav H., Rogers, Claire J., Collins, Karen A., Latham, David W., Watkins, Cristilyn N., Ciardi, David R., Howell, Steve B., Savel, Arjun B., Berlind, Perry, Calkins, Michael L., Esquerdo, Gilbert A., Mink, Jessica, Clark, Catherine A., Lund, Michael B., Matson, Rachel A., Everett, Mark E., Schlieder, Joshua E., Matthews, Elisabeth C., Giacalone, Steven, Barclay, Thomas, Zambelli, Roberto, Plavchan, Peter, Ellingson, Taylor, Bowen, Michael, Srdoc, Gregor, McLeod, Kim K., Schwarz, Richard P., Barkaoui, Khalid, Kamler, Jacob, Murgas, Felipe, Palle, Enric, Narita, Norio, Fukui, Akihiko, Relles, Howard M., Bieryla, Allyson, Girardin, Eric, Massey, Bob, Stockdale, Chris, Lewin, Pablo, Papini, Riccardo, Guerra, Pere, Conti, Dennis M., Yalcinkaya, Selcuk, Basturk, Ozgur, Mourad, Ghachoui
Sub-Neptunes - volatile-rich exoplanets smaller than Neptune - are intrinsically the most common type of planet known. However, the formation and nature of these objects, as well as the distinctions between sub-classes (if any), remain unclear. Two p
Externí odkaz:
http://arxiv.org/abs/2411.16836
Policy search methods are crucial in reinforcement learning, offering a framework to address continuous state-action and partially observable problems. However, the complexity of exploring vast policy spaces can lead to significant inefficiencies. Re
Externí odkaz:
http://arxiv.org/abs/2411.09900
Achieving the no-regret property for Reinforcement Learning (RL) problems in continuous state and action-space environments is one of the major open problems in the field. Existing solutions either work under very specific assumptions or achieve boun
Externí odkaz:
http://arxiv.org/abs/2410.24071
Autor:
Adriani, O., Ambrosi, G., Antonelli, M., Bai, Y., Bai, X., Bao, T., Barbanera, M., Berti, E., Betti, P., Bigongiari, G., Bongi, M., Bonvicini, V., Bottai, S., Cagnoli, I., Cao, W., Casaus, J., Cerasole, D., Chen, Z., Cui, X., D'Alessandro, R., Di Venere, L., Diaz, C., Dong, Y., Detti, S., Duranti, M., Gargano, F., Gao, J., Guo, S., Giovacchini, F., Finetti, N., Formato, V., Jiang, Y., Liang, X., Li, R., Liao, C., Liu, X., Lyu, L., Marin, J., Martinez, G., Mori, N., Oliva, A., Pacini, L., Papini, P., Pillera, R., Pizzolotto, C., Quan, Z., Qin, J. J., Silveri, L., Silvestre, G., Shi, D., Serini, D., Starodubtsev, O., Tang, X., Tiberio, A., Vannuccini, E., Velasco, M., Wang, B., Wang, J., Wang, R., Wang, Z., Xu, M., Yang, X., Zampa, G., Zampa, N., Zhang, S., Zheng, J.
The measurement of cosmic rays at energies exceeding 100 TeV per nucleon is crucial for enhancing the understanding of high-energy particle propagation and acceleration models in the Galaxy. HERD is a space-borne calorimetric experiment that aims to
Externí odkaz:
http://arxiv.org/abs/2410.03274
Autor:
Metta, Carlo, Gregnanin, Marco, Papini, Andrea, Galfrè, Silvia Giulia, Fois, Andrea, Morandin, Francesco, Fantozzi, Marco, Parton, Maurizio
This paper presents the second-place methodology in the Volvo Discovery Challenge at ECML-PKDD 2024, where we used Long Short-Term Memory networks and pseudo-labeling to predict maintenance needs for a component of Volvo trucks. We processed the trai
Externí odkaz:
http://arxiv.org/abs/2409.13877
Electrical resistivity tomography is a suitable technique for non-invasive monitoring of municipal solid waste landfills, but accurate sensitivity analysis is necessary to evaluate the effectiveness and reliability of geoelectrical investigations and
Externí odkaz:
http://arxiv.org/abs/2409.10326
Constrained Reinforcement Learning (CRL) tackles sequential decision-making problems where agents are required to achieve goals by maximizing the expected return while meeting domain-specific constraints, which are often formulated as expected costs.
Externí odkaz:
http://arxiv.org/abs/2407.10775
This paper presents a bridge between the theories of wonderful models associated with toric arrangements and wonderful models associated with hyperplane arrangements. In a previous work, the same authors noticed that the model of the toric arrangemen
Externí odkaz:
http://arxiv.org/abs/2407.04375
The paper studies the existence of periodic solutions of a perturbed relativistic Kepler problem of the type \begin{equation*} \dfrac{\mathrm{d}}{\mathrm{d}t}\left(\frac{m\dot{x}}{\sqrt{1-|\dot{x}|^{2}/c^{2}}}\right) = -\alpha\frac{x}{|x|^{3}} + \var
Externí odkaz:
http://arxiv.org/abs/2405.11189
We consider the problem of learning an $\varepsilon$-optimal policy in a general class of continuous-space Markov decision processes (MDPs) having smooth Bellman operators. Given access to a generative model, we achieve rate-optimal sample complexity
Externí odkaz:
http://arxiv.org/abs/2405.06363