This is an experiment with Reinforcement Learning a Grid World, a simple problem in which a single agent moves around a 2D grid in search of a goal state with a reward. This was a project for the Foundations of Artificial Intelligence class at Northeastern University, Spring 2023.
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Experiments with Q-Learning in Gridworld.
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