The immediate feedback after an action is called what?

• A. Reward
• B. State
• C. Policy
• D. Value Function

Answer: (A)

The immediate feedback after an action is the reward. In reinforcement learning, after the agent takes an action, the environment returns a scalar reward that signals how good that outcome was. This reward guides learning, helping the agent evaluate how valuable actions in particular states are and shaping the policy to seek higher rewards over time. The state is what the agent perceives about the environment at a given moment, not the feedback. The policy is the rule the agent uses to decide which action to take next. The value function estimates how good a state (or state–action pair) is in terms of expected future rewards, not the immediate payoff. For example, in a maze, moving toward the exit might yield a small positive reward right away, while a wrong turn could give a negative or zero reward; the reward signals help the agent learn which actions tend to lead to better long-term outcomes.