2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Daejin Jo, Sungwoong Kim, Daniel Wontae Nam +4
Episodic count has been widely used to design a simple yet effective intrinsic motivation for reinforcement learning with a sparse reward. However, the use of episodic count in a h…
cs.LG2021
GMAC: A Distributional Perspective on Actor-Critic Framework
Daniel Wontae Nam, Younghoon Kim, Chan Y. Park
In this paper, we devise a distributional framework on actor-critic as a solution to distributional instability, action type restriction, and conflation between samples and statist…