Kim, Dong-Ki

14 publications

CoRL 2025 Enter the Mind Palace: Reasoning and Planning for Long-Term Active Embodied Question Answering Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Marek Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel Kochenderfer, Ali-akbar Agha-mohammadi, Shayegan Omidshafiei

CVPR 2025 Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents Yunseok Jang, Yeda Song, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Dong-Ki Kim, Kyunghoon Bae, Honglak Lee

NeurIPS 2024 AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee

ICMLW 2024 AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee

ICMLW 2024 SkillAct: Using Skill Abstractions Improves LLM Agents Anthony Zhe Liu, Jongwook Choi, Sungryull Sohn, Yao Fu, Jaekyeom Kim, Dong-Ki Kim, Xinhe Wang, Jaewon Yoo, Honglak Lee

ICMLW 2023 Learning Higher Order Skills That Efficiently Compose Anthony Zhe Liu, Dong-Ki Kim, Sungryull Sohn, Honglak Lee

NeurIPSW 2023 Reasoning About Action Preconditions with Programs Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee

NeurIPSW 2023 TOD-Flow: Modeling the Structure of Task-Oriented Dialogues Sungryull Sohn, Yiwei Lyu, Anthony Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee

AAAI 2022 Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

NeurIPS 2022 Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P How

ICLRW 2022 Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Nicolaus Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P How

ICML 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong Ki Kim, Miao Liu, Matthew D Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan How

AAAI 2019 Learning to Teach in Cooperative Multiagent Reinforcement Learning Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How

ICCV 2015 You Are Here: Mimicking the Human Thinking Process in Reading Floor-Plans Hang Chu, Dong Ki Kim, Tsuhan Chen