This is an automated 2-D maze solver which uses Reinforcement Learning to optimise its path and reach its destination. Q-learning algorithm is used to train this maze solver and positive and negative rewards are assigned based on how far it is from the final state or position.
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This is a maze solving game which uses Q-learning algorithm to optimise and reach its destination
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- Python 100.0%