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Reinforcement-Learning-For-Air-Condition-Adjustment

This repository is for adjusting reinforcement learning according to the environment state in the real air conditioning environment.

The code is reinforcement learning test of real air conditioning room data in a certain place, and no related papers and patents have been published. This github repository uses two solutions, single Agent reinforcement learning strategy (TD3) and multi-agent reinforcement learning strategy (VDN), the code and data are available directly here!

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This repository is for adjusting reinforcement learning according to the environment state in the real air conditioning environment

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