Recursive least-squares updates of Koopman models let a model-predictive controller learn a soft-robot balancing task with about one-eightieth of the training time used by a reinforcement-learning baseline.
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Sample-Efficient Online Control Policy Learning with Real-Time Recursive Model Updates
Recursive least-squares updates of Koopman models let a model-predictive controller learn a soft-robot balancing task with about one-eightieth of the training time used by a reinforcement-learning baseline.