Q-Learning
探索Q-Learning的无限可能,掌握强化学习的核心算法!作为无模型强化学习的经典方法之一,Q-Learning在机器人导航、游戏AI、自动驾驶等领域展现出卓越性能。本页面汇集了923个精选资源,从基础教程到高级应用案例一应俱全,助您快速成长为领域专家。立即访问,享受免费下载特权,开启您的智能系统...
Q-Learning 全部资料 403 份
YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och编写
YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och编写,一个简短但非常经典的最大熵统计模型实现源码。
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, ...
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning c
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear...
An entry jsp learning the best books, including basic grammar and javabean / servlect and Informatio
An entry jsp learning the best books, including basic grammar and javabean / servlect and Information Management System ...
Feature selection is a preprocessing technique frequently used in data mining and machine learning t
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce ...
This book is good for learning C++.It conclude five parts:professional c++ introduction,C++ codeing
This book is good for learning C++.It conclude five parts:professional c++ introduction,C++ codeing the professional way...
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-insta
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation t...
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provide...