Physics-informed reinforcement learning via probabilistic co-adjustment functions

The dataset used in the paper is a physics-informed reinforcement learning dataset, where the goal is to learn to control a biomechanical human arm using only a two-link arm simulation model and a small amount of interaction data.

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