no code implementations • 1 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.
no code implementations • 17 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.