Reinforcement learning, in short, is the control of an individual acting autonomously in a certain environment, and constantly changing its behavior pattern through the interaction of the environment and rules.

For example, in the game of Pac-Man, the individual who acts autonomously is the controlling Pac-Man, the environment is the maze, the reward is the beans eaten, and the behavior is the operation up and down, left and right.

The input to reinforcement learning is the state of a character at a certain location, the actions allowed in that state, and the value of each action

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