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Q-Learning in Custom Gridworld and MountainCar-v0
This repository contains the implementation of Q-Learning in two environments: a custom-built 5x5 Gridworld and the MountainCar-v0 environment from the OpenAI Gym library. The objective of the task was to train an agent to learn optimal policies in both environments using Q-Learning.
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