Value Iteration: Take the Best Move, Sweep to Convergence
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Lessons in this course
- Multi-Armed Bandits: Sample Averages & the Incremental UpdateFree
- Epsilon-Greedy: Explore or Exploit, Visit by Visit Pro
- Upper Confidence Bound (UCB): Optimism with a Bonus Pro
- Returns & Discounting: G = R + γR + γ²R + … Pro
- Bellman Expectation: Evaluate a Random Policy Sweep by Sweep Pro
- Value Iteration: Take the Best Move, Sweep to Convergence Pro
- Q-Learning by Hand: Eight Updates of a Q-Table Pro
- Policy Extraction: From V* to the Best Action, and Random vs Optimal Pro