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Returns, Value functions and MDPs
L3: Bellman Optimality Equation (P1-Motivating example)—Mathematical Foundations of RL
L08: Reinforcement Learning I - Policies, State Action Value Functions
Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming
Lecture 5 : Optimal Value Function and Value Iterations
Using Optimal Value Functions to Get Optimal Policies - Fundamentals of Reinforcement Learning
Reinforcement Learning 10: Value Function
Value Functions - Fundamentals of Reinforcement Learning
Math-S401: Lecture V - The Bellman operator
L3: Bellman Optimality Equation (P2-Optimal policy)—Mathematical Foundations of RL
Lecture 19: Bellman equation explained
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Last Updated: August 17, 2026
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