نتایج جستجو برای: Policy-Making, Learning

تعداد نتایج: 1124197  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید باهنر کرمان - دانشکده ادبیات و علوم انسانی 1389

abstract this research has been carried out with the purpose of investigating the conditions and related elements of the employment of the educational sciences graduates of hamedan province universities in 1382-1387 academic years. it has been a descriptive research of a correlation kind, and the population number has been 1180 grduates of payam- e noor universites in asad – abaad, kaboudaraha...

2004
Lihong Li Vadim Bulitko Russell Greiner

We investigate the problem of using function approximation in reinforcement learning (RL) where the agent’s control policy is represented as a classifier mapping states to actions. The innovation of this paper lies with introducing a measure of state’s decision-making importance. We then use an efficient approximation to this measure as misclassification costs in learning the agent’s policy. As...

2000
Kazuteru Miyazaki Shigenobu Kobayashi

Reinforcement Learning is a kind of machine learning. It aims to adapt an agent to a given environment with a clue to a reward. In general, the purpose of reinforcement learning system is to acquire an optimum policy that can maximize expected reward per an action. However, it is not always important for any environment. Especially, if we apply reinforcement learning system to engineering, we e...

Journal: :Transactions of the Japanese Society for Artificial Intelligence 2001

2004
Pablo L. Durango-Cohen

In the existing approach to maintenance and repair decision making for infrastructure facilities, policy evaluation and policy selection are performed under the assumption that a perfect facility deterioration model is available. The writer formulates the problem of developing maintenance and repair policies as a reinforcement learning problem in order to address this limitation. The writer exp...

2003
Michail G. Lagoudakis Michael L. Littman Xiaobai Sun Leslie P. Kaelbling

(Computer Science—Machine Learning) EFFICIENT APPROXIMATE POLICY ITERATION METHODS FOR SEQUENTIAL DECISION MAKING IN REINFORCEMENT LEARNING

Journal: :health scope 0
abdolvahab baghbanian health promotion research centre, zahedan university of medical sciences,, ir iran 98 917 313 2347, [email protected]; health promotion research centre, zahedan university of medical sciences,, ir iran 98 917 313 2347, [email protected]

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید