3 citations · 6 across the 4 of their papers we have counts for
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cs.LG2019
Disentangling Options with Hellinger Distance Regularizer
Minsung Hyun, Junyoung Choi, Nojun Kwak
In reinforcement learning (RL), temporal abstraction still remains as an important and unsolved problem. The options framework provided clues to temporal abstraction in the RL, and…
cs.LG2019★ 3 cited
Task-oriented Design through Deep Reinforcement Learning
Junyoung Choi, Minsung Hyun, Nojun Kwak
We propose a new low-cost machine-learning-based methodology which assists designers in reducing the gap between the problem and the solution in the design process. Our work applie…
cs.LG2017★ 3 cited
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
YoungJoon Yoo, Seonguk Park, Junyoung Choi +2
This paper proposes a new algorithm for controlling classification results by generating a small additive perturbation without changing the classifier network. Our work is inspired…