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Reinforcement Learning the Basics: A Friendly, Step‑by‑Step Introduction to How Machines Learn to Make Decisions-logo

Reinforcement Learning the Basics: A Friendly, Step‑by‑Step Introduction to How Machines Learn to Make Decisions

Ethan Wallace

Master artificial intelligence and machine learning fundamentals without drowning in confusing mathematical formulas. Perfect for your daily commute, this calm, conversational audio experience translates dense technical concepts into relatable...

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Opening Credits

1/13/2026
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Chapter 1: Why Teaching Machines To Decide Is Different

1/13/2026
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Chapter 2: Agents, Environments, And The Language Of Interaction

1/13/2026
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Chapter 3: Return, Value, And Policies: Measuring Good Decisions

1/13/2026
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Chapter 4: The Exploration Dilemma: Trying Versus Exploiting

1/13/2026
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Chapter 5: Bandits: The Simplest Playground For Learning From Reward

1/13/2026
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Chapter 6: From Bandits To Worlds: Markov Decision Processes

1/13/2026
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Chapter 7: Learning From Complete Experiences: Monte Carlo Ideas

1/13/2026
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Chapter 8: Planning With A Model: Dynamic Programming Intuition

1/13/2026
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Chapter 9: Temporal Difference Learning And The Road To Deep RL

1/13/2026
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Chapter 10: From Games To The Real World: Applications, Pitfalls, And Next Steps

1/13/2026
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Closing Credits

1/13/2026