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cs.LG2026
Koopman Identification of Nonlinear Systems via Reservoir Liftings
Weibin Gu, Chen Yang, Lu Shi
Learning tractable linear representations of nonlinear dynamical systems via Koopman operator theory is often hindered by dictionary selection, temporal memory encoding, and numeri…
cs.LG2022★ 5 cited
Skill-based Model-based Reinforcement Learning
Lucy Xiaoyang Shi, Joseph J. Lim, Youngwoon Lee
Model-based reinforcement learning (RL) is a sample-efficient way of learning complex behaviors by leveraging a learned single-step dynamics model to plan actions in imagination. H…