Term tag: exploration

Policy

In reinforcement learning, a policy is the function that maps a state to an action — it is the agent's behavior, the thing training optimizes.

Reinforcement Learning (RL)

How an agent learns to act by trial and error: it takes actions in an environment, earns rewards or penalties, and adjusts to maximize long-term reward.