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Reinforcement learning to maximise wind turbine energy generation
The double deep Q- learning is compared with a classic value iteration reinforcement learning control and both strategies outperform a classic PID control in all environments.
A reinforcement learning strategy for p-adaptation in high order solvers
We discuss the impact of RL-based mesh p-adaptation on computational efficiency and accuracy.
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