2 papers
cs.LG2024
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
Zhifa Ke, Zaiwen Wen, Junyu Zhang
Temporal difference (TD) learning algorithms with neural network function parameterization have well-established empirical success in many practical large-scale reinforcement learn…
math.OC2023
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation
Zhifa Ke, Junyu Zhang, Zaiwen Wen
In this paper, a Gauss-Newton Temporal Difference (GNTD) learning method is proposed to solve the Q-learning problem with nonlinear function approximation. In each iteration, our m…