IEEE

Bias-Policy Iteration-Based Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems

Abstract: This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation ...
GitHub

Mq-b/ModernCpp-ConcurrentProgramming-Tutorial

国内的 C++ 并发编程的教程并不稀少，不管是书籍、博客、视频。然而大多数是粗糙的、不够准确、复杂的 ...
IEEE

Adaptive Optimal Output Regulation Based on Adaptive Dynamic Programming and Output-Feedback Hybrid Iteration: Theory and Applications Across Diverse Time Scales From PMDC ...

Abstract: This article investigates the adaptive optimal output-feedback control problem for discrete-time multiagent linear systems. An adaptive dynamic programming (ADP) algorithm, hybrid iteration ...
InfoWorld

Do more with Python’s new built-in async programming library

Introduction to CUDA programming for Python developers Here’s a detailed breakdown of how CUDA programming works compared to similar operations in PyTorch, from the blog for the PySpur AI Agent ...