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Reinforcement Learning: A Practical, Intuition-First Guide From Bandits to Deep RL-logo

Reinforcement Learning: A Practical, Intuition-First Guide From Bandits to Deep RL

James Cartwright

Master artificial intelligence and machine learning algorithms without the dense math to accelerate your tech career. Perfect for your daily commute or a focused learning session, this guide transforms intimidating equations into everyday analogies....

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Opening Credits

1/13/2026
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Chapter 1: From Trial And Error To Reinforcement Learning

1/13/2026
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Chapter 2: Bandits The Simplest Learning Problem

1/13/2026
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Chapter 3: From One Shot Choices To Sequential Decisions

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Chapter 4: Thinking In Returns Values And Policies

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Chapter 5: Planning With A Perfect Model Dynamic Programming

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Chapter 6: Learning From Complete Episodes Monte Carlo Methods

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Chapter 7: Learning Before The Episode Ends Temporal Difference Ideas

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Chapter 8: From Prediction To Control SARSA And Q Learning

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Chapter 9: Scaling Up Function Approximation And Deep Reinforcement Learning

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Chapter 10: Reinforcement Learning In The Wild Practice Pitfalls And Next Steps

1/13/2026
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Closing Credits

1/13/2026