Search Results for author: Byungchan Ko

Found 2 papers, 0 papers with code

Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning

no code implementations1 Jun 2022 Byungchan Ko, Jungseul Ok

In deep reinforcement learning (RL), data augmentation is widely considered as a tool to induce a set of useful priors about semantic consistency and improve sample efficiency and generalization performance.

Data Augmentation reinforcement-learning +2

Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning

no code implementations17 Feb 2021 Byungchan Ko, Jungseul Ok

In deep reinforcement learning (RL), data augmentation is widely considered as a tool to induce a set of useful priors about semantic consistency and improve sample efficiency and generalization performance.

Data Augmentation reinforcement-learning +2

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