Numerical comparison finds adaptive quantized control more robust than DDPG under packet loss and dynamic switching for uncertain linear systems, while DDPG excels in nominal conditions.
Adaptive quanti zed control for linear uncertain discrete-time systems,
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On the Comparison of Reinforcement Learning and Adaptive Control for Linear Systems under Packet Loss and Uncertainty
Numerical comparison finds adaptive quantized control more robust than DDPG under packet loss and dynamic switching for uncertain linear systems, while DDPG excels in nominal conditions.