172 citations · 924 across the 40 of their papers we have counts for
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physics.flu-dyn2018★ 14 cited
Sparse Convolution-based Markov Models for Nonlinear Fluid Flows
Chen Lu, Balaji Jayaraman, Joshua Whitman +1
Data-driven modeling for nonlinear fluid flows using sparse convolution-based mapping into a feature space where the dynamics are Markov linear is explored in this article. The und…
cs.AI2018
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice
Girish Joshi, Girish Chowdhary
In this paper, we present a new approach to Transfer Learning (TL) in Reinforcement Learning (RL) for cross-domain tasks. Many of the available techniques approach the transfer arc…