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Escaping from a maze using Reinforcement Learning techniques.

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In this project, the optimal policy to escape a maze is found using model-based (Policy Iteration) and model-free (Q-learning and SARSA) reinforcement learning techniques.

Start state : top-left corner, Goal state : bottom-right corner

Policy Iteration result:

PI

Q-Learning result:

Q-learning

SARSA result:

SARSA

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Escaping from a maze using Reinforcement Learning techniques.

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