In reinforcement learning, an agent interacts with an environment and learns from feedback it receives after each step. Which specific element refers to the numeric signal that the environment immediately returns so the agent can assess the quality of its most recent action?
Epoch
Feature
Label
Reward
The numeric signal returned by the environment after each action is called the reward. It tells the agent how good or bad that single action was, allowing the agent to adjust its policy toward maximizing long-term cumulative reward. A feature is an input variable used for learning, not feedback. An epoch is a full pass through a training dataset, a term from supervised learning. A label is the correct output associated with an input in supervised learning, and does not exist in reinforcement learning.
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