Reinforcement Learning

Policy

A strategy or mapping from states to actions that defines the agent’s behavior in reinforcement learning.

  • Agent: Explore how Agent relates to Policy
  • Action: Explore how Action relates to Policy
  • State: Explore how State relates to Policy
  • Policy Gradient: Explore how Policy Gradient relates to Policy

Why It Matters

Understanding Policy is crucial for anyone working with reinforcement learning. This concept helps build a foundation for more advanced topics in AI and machine learning.

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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.

Tags

reinforcement-learning agent action state

Related Terms

Agent

In RL, the learner or decision-maker that takes actions in an environment to maximize cumulative reward.

Policy Gradient

RL methods that directly optimize the policy by computing gradients of expected reward with respect to policy parameters.

Added: November 18, 2025

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