How to Code Policy Evaluation | Free Reinforcement Learning Course Module 5a

In module 5a of our free reinforcement learning course, we implement the policy evaluation algorithm.

We start by removing unnecessary code from our old open ai gym compliant gridworld, and replacing it with the calculation for the state transition probabilities.

In modules 5b, and 5c we will cover policy improvement/iteration and value iteration.

Code for this video is here:
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