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In recent years, deep reinforcement learning (DRL) has found widespread applications across diverse scenarios. Since the DRL training process requires substantial time and financial costs, ...
This paper proposes a model-based deep reinforcement learning (DRL) framework to maximize the total power output and minimize the fatigue load of a floating offshore wind farm subject to wake effect.
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