Catalog · Discrete Stochastic Processes Lecture 9 of 25 Lecture 9: Markov Rewards and Dynamic Programming ← Previous Lecture 8: Markov Eigenvalues and Eigenvectors Next → Lecture 10: Renewals and the Strong Law of Large Numbers ✓ Mark complete Materials Transcript (PDF) ↗ transcript