Genetic reinforcement learning for neurocontrol problems
نویسندگان
چکیده
منابع مشابه
Neurocontrol by Reinforcement Learning
Reinforcement learning (RL) is a model-free tuning and adaptation method for control of dynamic systems. Contrary to supervised learning, based usually on gradient descent techniques, RL does not require any model or sensitivity function of the process. Hence, RL can be applied to systems that are poorly understood, uncertain, nonlinear or for other reasons untractable with conventional methods...
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ii DECLARATION I, the undersigned, hereby declare that the work contained in this thesis is my own original work and has not previously in its entirety or in part been submitted at any university for a degree. iii Now to Him who is able to keep us from stumbling, And to bring us faultless Before the presence of His glory with exceeding joy, To God our Saviour, Who alone is wise, Be glory and ma...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 1994
ISSN: 0885-6125,1573-0565
DOI: 10.1007/bf00993045