most citedCombing physics-based and data-driven predictions for quantitatively accurate models that extrapolate well; with application to DIII-D, AUG, and ITER tokamak fusion reactors

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cs.LG2022

Exploration via Planning for Information about the Optimal Trajectory

Viraj Mehta, Ian Char, Joseph Abbate +5

Many potential applications of reinforcement learning (RL) are stymied by the large numbers of samples required to learn an effective policy. This is especially true when applying…