Archives for markov decision process
A Hidden Markov Model (HMM) is a statistical model which is also used in machine learning. It can be used to describe the evolution of observable events that depend on internal factors, which are not directly observable.
One of the newest developments in deep learning is the curriculum learning, where algorithms are trained to learn on a meaningful order in increasing complexity rather than just examples being fed to them. A new study by researchers who worked with OpenAI has dug deep into curriculum learning. Their model, called as Teacher-Student Curriculum…
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