4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Model-Augmented Q-learning
Youngmin Oh, Jinwoo Shin, Eunho Yang +1
In recent years, -learning has become indispensable for model-free reinforcement learning (MFRL). However, it suffers from well-known problems such as under- and overestimation…
cs.LG2020★ 2 cited
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh, Kimin Lee, Jinwoo Shin +2
Experience replay, which enables the agents to remember and reuse experience from the past, has played a significant role in the success of off-policy reinforcement learning (RL).…
cs.NE2018★ 4 cited
Training Deep Neural Network in Limited Precision
Hyunsun Park, Jun Haeng Lee, Youngmin Oh +2
Energy and resource efficient training of DNNs will greatly extend the applications of deep learning. However, there are three major obstacles which mandate accurate calculation in…