Hasil Pencarian  ::  Simpan CSV :: Kembali

"Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. "

"The objective of this study is to analyze the effects of the student's belief of knowledge and learning toward the students' performance. The assumptions used are: 1) Knowledge is certain 2) Knowledge is complex 3) Learning is not fast and easy 4)Knowledge capacity is not based solely on the performace variable. The subjects for the study were students majoring in Accounting of a university located in Banten. Both the descriptive analysis method and the path analysis were used in this study to analyze the data. The result indicate that the students belief on knowledge and learning affected the students' performance, both directly and indirectly, as much as 7%."