Jang, Youngsoo

13 publications

ICML 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim

ICML 2024 Degeneration-Free Policy Optimization: RL Fine-Tuning for Language Models Without Degeneration Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee

CVPRW 2024 Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee

ICML 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

NeurIPSW 2023 Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee

NeurIPS 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

ICLR 2022 GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems Youngsoo Jang, Jongmin Lee, Kee-Eung Kim

NeurIPS 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

ICLR 2021 Monte-Carlo Planning and Learning with Language Action Value Estimates Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim

AAAI 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues Youngsoo Jang, Jongmin Lee, Kee-Eung Kim

ICML 2020 Variational Inference for Sequential Data with Future Likelihood Estimates Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

ACML 2019 Trust Region Sequential Variational Inference Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim

IJCAI 2017 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim