Asymptotics of Reinforcement Learning with Neural Networks

13 November 2019

Papers citing "Asymptotics of Reinforcement Learning with Neural Networks"

7 / 7 papers shown

Title
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 38 2 0 26 Jan 2024
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences Samuel Chun-Hei Lam Justin A. Sirignano K. Spiliopoulos 30 2 0 28 Aug 2023
Towards a Better Understanding of Representation Dynamics under TD-learning Yunhao Tang Rémi Munos OffRL 26 1 0 29 May 2023
Global Convergence of Deep Galerkin and PINNs Methods for Solving Partial Differential Equations Deqing Jiang Justin A. Sirignano Samuel N. Cohen 24 6 0 10 May 2023
Global Optimality of Elman-type RNN in the Mean-Field Regime Andrea Agazzi Jian-Xiong Lu Sayan Mukherjee MLT 34 1 0 12 Mar 2023
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime B. Kerimkulov J. Leahy David Siska Lukasz Szpruch 30 11 0 18 Jan 2022
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory Yufeng Zhang Qi Cai Zhuoran Yang Yongxin Chen Zhaoran Wang OOD MLT 99 11 0 08 Jun 2020