no code implementations • 27 May 2024 • Egor Gladin, Pavel Dvurechensky, Alexander Mielke, Jia-Jie Zhu
This paper presents a new type of gradient flow geometries over non-negative and probability measures motivated via a principled construction that combines the optimal transport and interaction forces modeled by reproducing kernels.
no code implementations • 3 Jun 2022 • Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander Gasnikov, Martin Takáč
The problem of constrained Markov decision process is considered.
