L. An Introductory Tutorial on Stochastic Programming Using a Long-Term Hydrothermal Scheduling Problem. Journal of Control, Automation and Electrical Systems, v.24, n.3, p.361-367, 2013.FINARDI, E. C.; DECKER, B. U.; MATOS, V. L. DE. An Introductory Tutorial on Stochastic Programming ...
摘要原文 Zero-sum stochastic games generalize the notion of Markov Decision Processes (i.e. controlled Markov chains, or stochastic dynamic programming) to the 2-player competitive case : two players jointly control the evolution of a state variable, and have opposite interests. These notes constitu...
In this tutorial we give an overview of the basic ideas underlying Support Vector (SV) machines for function estimation. Furthermore, we include a summary of currently used algorithms for training SV machines, covering both the quadratic (or convex) programming part and advanced methods for dealing...
Learn Assembly Language - NASM x86 assembly language tutorial on Linux. Programming from the Ground Up by Jonathan Bartlett [pdf] Let's Learn x86-64 Assembly! Part 0 - Setup and First Steps Part 1 - Metaprogramming in Flat Assembler Part 2 - We're Writing a Virtual Machine Part 3 - Ar...
C++ Tutorial for Beginners - A comprenhensive tutorial on C++ curated by trained experts. cppexpert.online - Learn the best C++ practices by improving code snippets with some problems or with bad practices. C++ for yourself - A comprehensive tutorial on modern C++ covering everything from fundame...
This enables the optimization of these parameters by gradient descent on the loss function, and thereby allows a user to find a UDE with parameterized function UAp optimal that approximates the measured time series of the original system well. Figure 1 Schematic sketch of the concept of UDE11....
S. S. Keerthi and B. Ravindran, A Tutorial Survey of Reinforcement Learning, Sadhana, 1994.[Paper] Matthew E. Taylor, Peter Stone, Transfer Learning for Reinforcement Learning Domains: A Survey, JMLR, 2009.[Paper] Jens Kober, J. Andrew Bagnell, Jan Peters, Reinforcement Learning in Robotics...
A tutorial on the cross-entropy method Ann. Oper. Res., 134 (2005), pp. 19-67, 10.1007/s10479-005-5724-z View in ScopusGoogle Scholar [88] C.B. Browne, E. Powley, D. Whitehouse, S.M. Lucas, P.I. Cowling, P. Rohlfshagen, et al. A survey of Monte Carlo tree search method...
we settle for an approximate formulation. This tutorial paper collects together in one place the basic background material needed to do GP modeling. We start with the basic definitions and facts, and some methods used to transform problems into GP format. We show how to recognize functions and...
The cross-entropy (CE) method is a new generic approach to combinatorial and multi-extremal optimization and rare event simulation. The purpose of this tutorial is to give a gentle introduction to the CE method. We present the CE methodology, the basic algorithm and its modifications, and discu...