LinkedIn

Edition 18: Action-Value Function Approximation and Non-Linear Methods

In this series, we will continue to explore reinforcement learning (RL) concepts guided by the great textbook Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto. Summary ...
Nature

A posteriori error approximation in discontinuous Galerkin method on polygonal meshes in elliptic problems

This paper presents an error approximation concept for a version of the discontinuous Galerkin (DG) method called the discontinuous Galerkin with finite difference ...
IEEE

Ming Yin

Average Budget,Confidence Level,Estimation Error,Function Approximation,Functional Class,Greedy Policy,Large State,Least Squares Problem,Local Budgets,Markov Decision ...
IEEE

Machine Learning-Based Error Detection and Function Approximation for Reliable Computing

Abstract: Ensuring reliability in modern computing systems requires efficient and accurate error detection mechanisms. This paper explores a machine learning based ...
LinkedIn

Edition 17: On-Policy Prediction with Function Approximation

In this series, we will continue to explore reinforcement learning (RL) concepts guided by the great textbook Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto. Summary ...