Search Results for author: Koanho Lee

Found 2 papers, 2 papers with code

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning

1 code implementation9 Jun 2023 Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo

To address this issue, we propose a novel URL framework that causally predicts future states while increasing the dimension of the latent manifold by decorrelating the features in the latent space.

Reinforcement Learning (RL) Representation Learning

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