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Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach., , and . J. Comput. Phys., (2020)Stochastic Optimal Control Matching., , , , and . CoRR, (2023)Recurrent Neural Networks for Stochastic Control Problems with Delay., and . CoRR, (2021)DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks., , and . CoRR, (2021)Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids., , and . CoRR, (2021)Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?, , and . CoRR, (2022)A Machine Learning Enhanced Algorithm for the Optimal Landing Problem., , , , , and . MSML, volume 190 of Proceedings of Machine Learning Research, page 319-334. PMLR, (2022)Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games., and . MSML, volume 107 of Proceedings of Machine Learning Research, page 221-245. PMLR, (2020)An L2 Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation., , and . CoRR, (2021)Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control., and . CoRR, (2022)