most citedDeep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2023★ 2 cited

Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces

Andrea Angiuli, Jean-Pierre Fouque, Ruimeng Hu +1

We present the development and analysis of a reinforcement learning (RL) algorithm designed to solve continuous-space mean field game (MFG) and mean field control (MFC) problems in…

math.NA2022★ 1 cited

Higher-Order error estimates for physics-informed neural networks approximating the primitive equations

Ruimeng Hu, Quyuan Lin, Alan Raydan +1

Large-scale dynamics of the oceans and the atmosphere are governed by primitive equations (PEs). Due to the nonlinearity and nonlocality, the numerical study of the PEs is generall…