Youngsoo Jang

According to our database, Youngsoo Jang authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection.

Kyungjae Lee, Dasol Hwang, Sunghyun Park, Youngsoo Jang, Moontae Lee

CoRR, 2024

2023

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.

Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Information-Theoretic State Space Model for Multi-View Reinforcement Learning.

HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim

Proceedings of the International Conference on Machine Learning, 2023

2022

LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation.

Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

CoRR, 2022

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation.

Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems.

Youngsoo Jang, Jongmin Lee, Kee-Eung Kim

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Monte-Carlo Planning and Learning with Language Action Value Estimates.

Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Variational Inference for Sequential Data with Future Likelihood Estimates.

Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

Proceedings of the 37th International Conference on Machine Learning, 2020

End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2.

DongHoon Ham, Jeong-Gwan Lee, Youngsoo Jang, Kee-Eung Kim

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues.

Youngsoo Jang, Jongmin Lee, Kee-Eung Kim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules.

Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Trust Region Sequential Variational Inference.

Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention.

Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Kee-Eung Kim

IEEE ACM Trans. Audio Speech Lang. Process., 2018

2017

Constrained Bayesian Reinforcement Learning via Approximate Linear Programming.

Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Neural dialog state tracker for large ontologies by attention mechanism.

Youngsoo Jang, Jiyeon Ham, Byung-Jun Lee, Youngjae Chang, Kee-Eung Kim

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016