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第1期“互联”学术沙龙——“Ten Key for Reinforcement Learning and Optimal Control”顺利举行（图）
互联 学术沙龙 强大学习 机器学习
2022/12/29
强大学习（Reinforcement Learning, RL），又称再励学习、评价学习或增强学习，是机器学习的范式和方法论之一，用于描述和解决智能体（agent）在与环境的交互过程中通过学习策略以达成回报最大化或实现特定目标的问题。在过去的几十年中，强化学习在许多领域中取得了巨大的成功，尤其是由谷歌（Google）旗下DeepMind公司戴密斯·哈萨比斯领衔的团队开发的AlphaGo，它是第一个...
Research and Design of UUV Navigation and Control Integrative Simulation System Based on Component
UUV Integrative Simulation Component
2013/1/28
This paper uses the component-based technology and the object oriented simulation technology to analyze the UUV navigation and control integration simulation system. We divide the system into componen...
SLIDING MODE CONTROL FOR TRAJECTORY TRACKING OF AN INTELLIGENT WHEELCHAIR
sliding-mode control trajectory-tracking mode intelligent wheelchair mobile robots
2010/1/11
This paper deal with a robust sliding-mode trajectory tracking controller, for
nonholonomic wheeled mobile robots and its experimental evaluation by the
implementation in an intelligent wheelchair (...
MULTIVARIABLE INTELLIGENT CONTROL FOR M.A.G. WELDING PROCESS
welding process intelligent control nonlinear model
2010/1/11
A neural control technique, applied to the MAG (Metal-Active Gas) welding
process, is presented in the paper. The static nonlinear model of welding process is
based on experimental determinations. T...