How Temporal-Difference Methods works part1(Machine Learning)
Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation(arXiv) Author : Zhifa Ke, Zaiwen Wen, Junyu Zhang Abstract : In this paper, based on the spirit of Fitted Q-Iteration (FQI), we propose a Gauss-Newton Temporal Difference (GNTD) method to solve the Q-value estimation problem with function approximation. In each…
How Temporal-Difference Methods works part1(Machine Learning) Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation(arXiv) Author : Zhifa Ke, Zaiwen Wen, Junyu Zhang Abstract : In this paper, based on the spirit of Fitted Q-Iteration (FQI), we propose a Gauss-Newton Temporal Difference (GNTD) method to solve the Q-value estimation problem with function approximation. In each… deep-learning
TemporalDifference Methods work part1Machine Learning Provably Efficient GaussNewton Temporal Difference Learning Method Function ApproximationarXiv Author Zhifa Ke Zaiwen Wen Junyu Zhang Abstract paper based spirit Fitted QIteration FQI propose GaussNewton Temporal Difference GNTD method solve Qvalue estimation problem function approximation each… deeplearning