“There is something to be learned from a rainstorm. When meeting with a sudden shower, you try not to get wet and run quickly along the road. But doing such things as passing under the eaves of houses, you still get wet. When you are resolved from the beginning, you will not be perplexed, though you will still get the same soaking. This understanding extends to everything.”
In which I explain what is reinforcement learning, where it fits in the whole as a machine learning paradigm. Some of the basic concepts of reinforcement how they interact with each other and some possible directions.
Introduction Reinforcement learining — RL — seems to be the hot topic in machine learning nowadays, it’s the basis for the algorithm that beat the Go champion, a game in which, pundits claim, a computer would not be able to beat a human within this century and also it is what makes you spend more when shopping online.