Dong-Ki Kim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Nash Equilibria

Reinforcement Learning

Stochastic Games

Top Venues

Publications

Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
Code Models are Zero-shot Precondition Reasoners. NAACL-HLT (2024)
Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents. CoRR (2024)
Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR (2023)
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. EMNLP (2023)
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
Code Models are Zero-shot Precondition Reasoners. CoRR (2023)
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. CoRR (2023)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS (2022)
Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. CoRR (2022)
Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. IROS (2022)
Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. ICRA (2022)
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. ICRA (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. CoRR (2022)
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
Context-Specific Representation Abstraction for Deep Option Learning. AAAI (2022)
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML (2021)
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. ICRA (2021)
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. CoRR (2021)
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
Context-Specific Representation Abstraction for Deep Option Learning. CoRR (2021)
Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. CoRR (2021)
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR (2020)
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. CoRR (2020)
Dong-Ki Kim, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How
Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS (2020)
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR (2019)
Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. CoRR (2019)
Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. IROS (2019)
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI (2019)
Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
Crossmodal Attentive Skill Learner. AAMAS (2018)
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR (2018)
Dong-Ki Kim, Daniel Maturana, Masashi Uenoyama, Sebastian A. Scherer
Season-Invariant Semantic Segmentation with a Deep Multimodal Network. FSR (2017)
Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
Crossmodal Attentive Skill Learner. CoRR (2017)
Dong-Ki Kim, Matthew R. Walter
Satellite image-based localization via learned embeddings. ICRA (2017)
Dong-Ki Kim, Matthew R. Walter
Satellite Image-based Localization via Learned Embeddings. CoRR (2017)