This repo contains the submitted code for the Dynamic Programming and Optimal Control Class at ETH Zürich in Autumn Semester 2024/25 taught by Prof. Dr. Raffaello D'Andrea.
This submission reached 5th rank in the course wide competition.
It uses different approaches to solve a grid world MDP the shortest path problem, including value and policy iteration and its different modifications. The fastest implementation is based on policy iteration and solves a reduced linear system of equations in each iteration. It only consists of valid reachable states, which reduces the computational demand.
The main.py, Constants.py, test.py, utils.py and visualization.py files were provided.

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Programming Competition of Dynamic Programming and Optimal Control (DPOC) class @ ETH 2024.
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