Reinforcement Learning is a way of learning by knowing and observing from the environment by continuously updating the reward and penalty value. The main purpose of re-information learning is to make the right decision in different situations in an unknown environment. This will be discussed later in detail.
The following is a list of what this whole series will discuss. If any topic goes away, or you want to know more about something, then, of course, don’t forget to leave your valuable comment.
- What is reinforcement learning?