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cs.LG2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies
Jeong-Hoon Lee, Jongeun Choi
Deep reinforcement learning has shown its effectiveness in various applications, providing a promising direction for solving tasks with high complexity. However, naively applying c…
stat.ME2021★ 4 cited
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters
Kyubaek Yoon, Hojun You, Wei-Ying Wu +8
In system identification, estimating parameters of a model using limited observations results in poor identifiability. To cope with this issue, we propose a new method to simultane…