2 papers
cs.LG2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
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…
cs.LG2021
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning
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…