surrounding and the only way to learn is experience and then learn from your experience this is what reinforcement learning is it is a learning method wherein an agent which is basically you stuck on the island interacts with its environment which is the island by producing actions and discovers errors or rewards and once the agent gets trained it gets ready to predict the new data presented to it now let's move ahead and look at the differences between supervised answer and reinforcement learning so let's begin by looking at their definitions