212 citations · 454 across the 29 of their papers we have counts for
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cs.LG2023
Applications of No-Collision Transportation Maps in Manifold Learning
Elisa Negrini, Levon Nurbekyan
In this work, we investigate applications of no-collision transportation maps introduced in [Nurbekyan et. al., 2020] in manifold learning for image data. Recently, there has been…
cs.LG2020★ 6 cited
Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games
Alex Tong Lin, Samy Wu Fung, Wuchen Li +2
We present APAC-Net, an alternating population and agent control neural network for solving stochastic mean field games (MFGs). Our algorithm is geared toward high-dimensional inst…
cs.LG2019★ 212 cited
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Lars Ruthotto, Stanley Osher, Wuchen Li +2
Mean field games (MFG) and mean field control (MFC) are critical classes of multi-agent models for efficient analysis of massive populations of interacting agents. Their areas of a…