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Final Year Project

Optimization of robotic workcell layouts using genetic algorithms (GA) where a reinforcement learning agent is deployed (QLearn), in which its actions are based on GA methodologies.

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Optimization of robotic workcell layouts using genetic algorithms (GA) where a reinforcement learning agent is deployed (QLearn), in which its actions are based on GA methodologies.

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