DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
This is the code of the paper DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning accepted at AAAI'2022. The paper can be found here.
The code of combustion simulator is in Simulator/simrnn_model.py, the code of model-based offline RL framework, MORE, is in RL/primal_dual_ddpg.py.
@inproceedings{zhan2022deepthermal,
title={Deepthermal: Combustion optimization for thermal power generating units using offline reinforcement learning},
author={Zhan, Xianyuan and Xu, Haoran and Zhang, Yue and Zhu, Xiangyu and Yin, Honglei and Zheng, Yu},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
pages={4680--4688},
year={2022}
}
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