Reinforcement Learning Overview - DZone AI

In this post, I will provide an overview of the settings of reinforcement learning as well as some of its key algorithms. Reinforcement learning is all about how we can make good decisions through trial and error. It is the interaction between the "agent" and the "environment." The agent's goal is to determine an optimal policy such that the value of the start state is maximized. The optimal policy can be formulated as choosing action a* and the amount of all choices of a at state s such that Q(s, a*) is the maximum.