most citedOn the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

33 citations · 33 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 33 cited

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

Baohe Zhang, Raghu Rajan, Luis Pineda +5

Model-based Reinforcement Learning (MBRL) is a promising framework for learning control in a data-efficient manner. MBRL algorithms can be fairly complex due to the separate dynami…