Youngsoo Jang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Stationary Distribution

State Space Model

Reinforcement Learning

Dialogue System

Top Venues

Publications

Kyungjae Lee, Dasol Hwang, Sunghyun Park, Youngsoo Jang, Moontae Lee
Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection. CoRR (2024)
Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. ACL (Findings) (2024)
HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
Information-Theoretic State Space Model for Multi-View Reinforcement Learning. ICML (2023)
Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. NeurIPS (2023)
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems. ICLR (2022)
Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation. CoRR (2022)
Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation. NeurIPS (2022)
Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim
Monte-Carlo Planning and Learning with Language Action Value Estimates. ICLR (2021)
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues. AAAI (2020)
DongHoon Ham, Jeong-Gwan Lee, Youngsoo Jang, Kee-Eung Kim
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2. ACL (2020)
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
Variational Inference for Sequential Data with Future Likelihood Estimates. ICML (2020)
Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. EMNLP/IJCNLP (3) (2019)
Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim
Trust Region Sequential Variational Inference. ACML (2019)
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim
Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention. IEEE ACM Trans. Audio Speech Lang. Process. 26 (11) (2018)
Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming. IJCAI (2017)
Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim
Neural dialog state tracker for large ontologies by attention mechanism. SLT (2016)