Reinforcement Learning is a type of machine learning that works when an “agent” is allowed to act on a trial-and-error basis within an interactive environment, using feedback from those actions to memorize over time in order to reach a predetermined goal or to maximize some type of score or reward. This stands in contrast to […]
Source: amazon.com