Branch of Machine Learning algorithms which produces so-called agents. The agent role is slightly different than classic model. It’s to receive information from the environment and react to it by performing an action. The information is fed to an agent in form of numerical data, called state, which is stored and then used for choosing right action. As a result, an agent receives a reward that can be either positive or negative. The reward is a feedback that can be used by an agent to update its parameters.
t is possible to say that models are representations o…ose are just theoretical concepts that describe what to do in order to achieve the specific effect. Model is a mathematical formula which is a result of Machine Learning algorithm implementation (in case of these articles — in code). It has measurable parameters that can be used for prediction. Models can be trained by modifying their parameters in order to achieve better results. It is possible to say that models are representations of what a Machine Learning system has learned…