Section outline

    • Micro-Topic 13.1: What Is Reinforcement Learning? (Goal: Understand how reinforcement learning lets an AI agent learn through trial-and-error feedback.)

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    • Micro-Topic 13.2: Agents, Environments, and Rewards – RL Building Blocks (Goal: Learn the basic components/terminology of reinforcement learning.)

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    • Micro-Topic 13.3: Learning by Playing – A Simple Game Example (Goal: See how an RL agent learns in a concrete scenario, such as a game.)

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    • Micro-Topic 13.4: The Exploration–Exploitation Tradeoff (Goal: Understand the balance between trying new things and using known best strategies in RL.)

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    • Micro-Topic 13.5: RL in the Real World – Success Stories in Games (Goal: Appreciate how reinforcement learning has achieved major feats, especially in games.)

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