Zobrazeno 1 - 10
of 40 561
pro vyhledávání: '"Light A."'
Autor:
Light, Bar
These lecture notes are derived from a graduate-level course in dynamic optimization, offering an introduction to techniques and models extensively used in management science, economics, operations research, engineering, and computer science. The cou
Externí odkaz:
http://arxiv.org/abs/2408.03034
Offline reinforcement learning often requires a quality dataset that we can train a policy on. However, in many situations, it is not possible to get such a dataset, nor is it easy to train a policy to perform well in the actual environment given the
Externí odkaz:
http://arxiv.org/abs/2407.20299
Publikováno v:
Planet. Sci. J. 5 98 (2024)
Saturn's moon Titan possesses stratospheric zonal winds that places it among a sparse class of planetary bodies known to have superrotation in their atmospheres. Few measurements have been made of these speeds in the upper stratosphere, leaving their
Externí odkaz:
http://arxiv.org/abs/2404.08832
Autor:
Light, Bar
This note studies monotone Markov chains, a subclass of Markov chains with extensive applications in operations research and economics. While the properties that ensure the global stability of these chains are well studied, their establishment often
Externí odkaz:
http://arxiv.org/abs/2401.11568
Impact of Cosmic Rays on Atmospheric Ion Chemistry and Spectral Transmission Features of TRAPPIST-1e
Autor:
Herbst, Konstantin, Bartenschlager, Andreas, Grenfell, John Lee, Iro, Nicolas, Sinnhuber, Miriam, Taysum, Benjamin, Wunderlich, Fabian, Engelbrecht, N. Eugene, Light, Juandre, Moloto, Katlego D., Harre, Jan-Vincent, Rauer, Heike, Schreier, Franz
Ongoing observing projects like the James Webb Space Telescope (JWST) and future missions offer the chance to characterize Earth-like exoplanetary atmospheres. Thereby, M-dwarfs are preferred targets for transit observations, for example, due to thei
Externí odkaz:
http://arxiv.org/abs/2311.04684
Autor:
Han, Minbiao, Light, Jonathan, Xia, Steven, Galhotra, Sainyam, Fernandez, Raul Castro, Xu, Haifeng
Data fuels machine learning (ML) - rich and high-quality training data is essential to the success of ML. However, to transform ML from the race among a few large corporations to an accessible technology that serves numerous normal users' data analys
Externí odkaz:
http://arxiv.org/abs/2310.17843
In this paper, we explore the potential of Large Language Models (LLMs) Agents in playing the strategic social deduction game, Resistance Avalon. Players in Avalon are challenged not only to make informed decisions based on dynamically evolving game
Externí odkaz:
http://arxiv.org/abs/2310.05036
Autor:
Erazo, Natalia G., Light, Tricia, Capone, Dante A., Effinger, Anna L., Erazo, Pierina F., Huang, Linqing, Kannad, Ankitha, Lanpher, Kaycie B., Norris, Emmet, Perry, Shannon O., Romero, Emilio, Russell, Tamara M., Varner, Ruth I., Wicker, Laney, Yu, Aoming, Zhai, Dongran, Norris, Richard D.
Publikováno v:
Oceanography, 2023 Dec 01. 36(4), 160-161.
Externí odkaz:
https://www.jstor.org/stable/27278282
Publikováno v:
Designing More-than-Human Smart Cities: Beyond Sustainability, Towards Cohabitation.
Externí odkaz:
https://doi.org/10.1093/9780191980060.003.0016