Reinforcement learning in layman terms

Summary

Key Points

• —Reinforcement learning is defined as the science of decision-making. 0:04
• —Its primary goal is to learn the optimal behavior within a specific environment. 0:09
• —The ultimate objective of reinforcement learning is to achieve the maximum possible reward. 0:12
• —Reinforcement learning employs algorithms to facilitate this learning process. 0:12
• —These algorithms learn by analyzing the outcomes of their actions. 0:18
• —Based on these outcomes, the algorithms determine the next action to take. 0:18
• —After each action, the algorithm receives crucial feedback from the environment. 0:21
• —This feedback helps in determining whether the chosen action was correct, neutral, or incorrect. 0:29