Abstract: This article develops a novel online adaptive dynamic programming algorithm with adjustable convergence rate to address the optimal control problem of nonlinear systems. Relaxation factors ...

Reinforcement Learning - An Introduction, 2nd Edition, written by Richard S. Sutton and Andrew G. Barto, is kind of bible of reinforcement learning. It is a required reading for students and ...

Nathalie Becquart, X.M.C.J., undersecretary of the Synod of Bishops, meets with Pope Francis in Rome. (CNS photo/Paul Haring) The Dominican theologian and ecclesiologist Yves Congar said in his book ...

The Dynamic Stochastic General Equilibrium (DSGE) model is a macroeconomic framework used to analyze the dynamics of economies over time in response to various shocks and policy changes. A Dynamic ...

Abstract: This paper proposes a dynamic programming algorithm for management of aircraft power supply system, which takes reliability as the optimization goal, and the power supply priority, the basic ...

The Smith-Waterman algorithm is a dynamic programming algorithm to find the optimal alignment of two sequences. This repository provides a basic implementation of the Smith-Waterman algorithm that has ...

Having lectured in some universities and polytechnics in Nigeria, the researchers observed problems in course allocations. There are no lay-down techniques on how courses should be allocated with ...

Presented at the 2015 Supercomputing Conference, this paper shows that dynamic parallelism enables relatively high-performance graph algorithms for GPUs. Dynamic parallelism allows GPU kernels to ...

ABSTRACT: A parallel version of the traditional grid based cost-to-go function generation algorithm used in robot path planning is introduced. The process takes advantage of the spatial layout of an ...