Session 8 Bellman Equation, Optimal Policy, Iterative Policy Evaluation, Policy & Value Iteration

Bellman Optimality Equation

Policy Evaluation

Policy iteration

Value iteration

Gridworld

Автор: Mainak's PMRF Tutorials

Загружено: Дата премьеры: 9 апр. 2025 г.

Просмотров: 116 просмотров

Описание:

In this video we introduce the concept of Bellman optimality Equations. We start with the relation between the Q-value and the value function. Then, putting the policy as optimal, we derived the Bellman Equations at optimality. We showed that the optimal value function can be obtained from the Q-value function by maximising over actions.
Next, we used this property to derive value iteration and policy iteration algorithms. We consider a grid-world example for policy evaluation and write a Python code to obtain the value function on convergence.

Materials: https://drive.google.com/drive/folder...

Session 8 Bellman Equation, Optimal Policy, Iterative Policy Evaluation, Policy & Value Iteration

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