Mean field social optimization: feedback person-by-person optimality and the dynamic programming equation
Minyi Huang, Shuenn-Jyi Sheu, Li-Hsien Sun
https://arxiv.org/abs/2508.14236
The Interpolation Constraint in the RV Analysis of M-Dwarfs Using Empirical Templates
Dhvani Doshi, Nicolas B. Cowan, \'Etienne Artigau, Ren\'e Doyon, Andr\'e M. Silva, Khaled Al Moulla, Yashar Hezaveh
https://arxiv.org/abs/2508.10980
In Zeiten von Fake News und Klimawandel-Leugnern kann man nur froh sein, dass es noch aufrechte Wissenschaftler gibt, die sich nicht mundtot machen lassen.
https://youtube.com/watch?v=7-h0zKgJkBk&si=rbXw3ad8twO7jUQO
Myopic Optimality: why reinforcement learning portfolio management strategies lose money
Yuming Ma
https://arxiv.org/abs/2509.12764 https://arxiv.org/pdf/2…
Achieving Optimal Performance-Cost Trade-Off in Hierarchical Cell-Free Massive MIMO
Wei Jiang, Hans D Schotten
https://arxiv.org/abs/2508.20704 https://arx…
The hyperbolically symmetric black hole
L. Herrera, L. Witten
https://arxiv.org/abs/2509.02621 https://arxiv.org/pdf/2509.02621
Error estimates for finite-dimensional approximations of Hamilton-Jacobi-Bellman equations on the Wasserstein space
Samuel Daudin, Joe Jackson, Benjamin Seeger
https://arxiv.org/abs/2510.02652
Optical and near-infrared nebular-phase spectroscopy of SN 2024ggi: constraints on the structure of the inner ejecta, progenitor mass, and dust
Emilio Hueichap\'an, R\'egis Cartier, Jose L. Prieto, Carlos Contreras, Aleksandar Cikota, Thallis Pessi, Franz E. Bauer, Giuliano Pignata
https://arxiv.org/abs/2508.02656
A semi-Lagrangian method for solving state constraint Mean Field Games in Macroeconomics
Fabio Camilli, Qing Tang, Yong-shen Zhou
https://arxiv.org/abs/2510.00768 https://