نتایج جستجو برای: Policy-Making, Learning
تعداد نتایج: 1124197 فیلتر نتایج به سال:
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...
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...
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...
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...
(Computer Science—Machine Learning) EFFICIENT APPROXIMATE POLICY ITERATION METHODS FOR SEQUENTIAL DECISION MAKING IN REINFORCEMENT LEARNING
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