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Aiding reinforcement learning for set point control
While reinforcement learning has made great improvements, state-of-the-art algorithms can still struggle with seemingly simple set-point feedback control problems.
Robust nonlinear set-point control with reinforcement learning
This paper argues that three ideas can improve reinforcement learning methods even for highly nonlinear set-point control problems: 1) Make use of a prior feedback controller to aid amplitude exploration.
Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning
As discussed in the paper, this leads to a separation of the observer dynamics to the recurrent neural network part, and the state feedback to the feedback and feedforward network.
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