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A reinforcement learning algorithm for area coverage

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zebro-sweep

This is an experimental project that is created as a proof of concept for using Deep Reinforcement Learning for Zebro area sweeping/spreading problem. The goal is to create a basic agent that can later be used to train upon (meaning instead of training a new agent from beginning the experience -namely Q-Network- can be transferred for faster learning.)

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A reinforcement learning algorithm for area coverage

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  • Python 100.0%