3 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
Binary Classifier Optimization for Large Language Model Alignment
Seungjae Jung, Gunsoo Han, Daniel Wontae Nam +1
In real-world services such as ChatGPT, aligning models based on user feedback is crucial for improving model performance. However, due to the simplicity and convenience of providi…
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…
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…