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pro vyhledávání: '"Chanona, Ehecactl Antonio Del Rio"'
Autor:
Bloor, Maximilian, Ahmed, Akhil, Kotecha, Niki, Mercangöz, Mehmet, Tsay, Calvin, Chanona, Ehecactl Antonio Del Rio
This work proposes a control-informed reinforcement learning (CIRL) framework that integrates proportional-integral-derivative (PID) control components into the architecture of deep reinforcement learning (RL) policies. The proposed approach augments
Externí odkaz:
http://arxiv.org/abs/2408.13566
