DILLab·Research

Publications

2026

  • P3PROMISE: Proof Automation as Structural Imitation of Human Reasoning
    Youngjoo Ahn, Sangyeop Yeo, Gijung Im, Jongmin Lee, Jinyoung Yeo, Jieung Kim
    Preprint
    paper
  • C29ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning
    Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara, Scott Sanner, Pascal Poupart^, Jongmin Lee^, Kee-Eung Kim^
    RLC/RLJ 2026
  • C28Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
    Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee^, Jongeun Choi^
    ICLR 2026
    paper

2025

  • P2Group-Invariant Unsupervised Skill Discovery: Symmetry-aware Skill Representations for Generalizable Behavior
    Junwoo Chang, Joseph Park, Roberto Horowitz, Jongmin Lee^, Jongeun Choi^
    Preprint
    paper
  • P1Semi-gradient DICE for Offline Constrained Reinforcement Learning
    Woosung Kim*, JunHo Seo*, Jongmin Lee^, Byung-Jun Lee^
    Preprint
    paper
  • C27FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
    Woosung Kim*, Jinho Lee*, Jongmin Lee^, Byung-Jun Lee^
    NeurIPS 2025
    paper code
  • C26SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation
    Jongmin Lee*, Meiqi Sun*, Pieter Abbeel
    ICLR 2025
    paper code

2024

  • C23Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
    Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
    NeurIPS 2024
    paper
  • C22ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
    Woosung Kim*, Hayeong Lee*, Jongmin Lee^, Byung-Jun Lee^
    NeurIPS 2024
    paper
  • C25Body Transformer: Leveraging Robot Embodiment for Policy Learning
    Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel
    CoRL 2024
    paper code website
  • C24Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
    Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim
    ICLR 2024
    paper spotlight

2023

  • C21AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
    Daiki E. Matsunaga*, Jongmin Lee*, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim
    NeurIPS 2023
    paper code
  • C20SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
    Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee
    NeurIPS 2023
    paper code
  • C19Tempo Adaptation in Non-stationary Reinforcement Learning
    Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
    NeurIPS 2023
    paper

2022

  • C15LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation
    Geon-Hyeong Kim*, Jongmin Lee*, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
    NeurIPS 2022
    paper code
  • C14Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
    Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
    NeurIPS 2022
    paper
  • C18COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
    Jongmin Lee, Cosmin Paduraru, Daniel J. Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim, Arthur Guez
    ICLR 2022
    paper code spotlight
  • C17DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
    Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
    ICLR 2022
    paper code
  • C16GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
    Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
    ICLR 2022
    paper code

2021

2020

2019

  • C5Trust Region Sequential Variational Inference
    Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim
    ACML 2019
    paper
  • C6PyOpenDial: 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
    EMNLP 2019
    paper code

2018

2017

2016