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2020 – today
- 2024
[c16]Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. EMNLP (Findings) 2024: 16531-16541- [c15]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: 5681-5697 - [i18]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 abs/2403.08978 (2024) - [i17]Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee:
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. CoRR abs/2410.22552 (2024) - 2023
- [c14]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: 3355-3371 - [i16]Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee:
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR abs/2310.16730 (2023) - [i15]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 abs/2311.09601 (2023) - [i14]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 abs/2312.04668 (2023) - 2022
- [c13]Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How:
Context-Specific Representation Abstraction for Deep Option Learning. AAAI 2022: 5959-5967 - [c12]Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How:
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. ICRA 2022: 462-468 - [c11]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. ICRA 2022: 5503-5510 - [c10]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: 11102-11108 - [c9]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 - [i13]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 abs/2203.03535 (2022) - [i12]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 abs/2203.05612 (2022) - [i11]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 abs/2210.16175 (2022) - 2021
- [c8]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: 5541-5550 - [c7]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. ICRA 2021: 10617-10624 - [i10]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. CoRR abs/2109.06795 (2021) - [i9]Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How:
Context-Specific Representation Abstraction for Deep Option Learning. CoRR abs/2109.09876 (2021) - [i8]Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How:
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. CoRR abs/2109.09910 (2021) - 2020
- [j1]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): 16 (2020) - [c6]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: 620-628 - [i7]Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. CoRR abs/2006.11419 (2020) - [i6]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 abs/2011.00382 (2020)
2010 – 2019
- 2019
- [c5]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: 6128-6136 - [c4]Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How:
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. IROS 2019: 8193-8200 - [i5]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 abs/1903.03216 (2019) - [i4]Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How:
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. CoRR abs/1903.06592 (2019) - 2018
- [c3]Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How:
Crossmodal Attentive Skill Learner. AAMAS 2018: 139-146 - [i3]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 abs/1805.07830 (2018) - 2017
- [c2]Dong-Ki Kim, Daniel Maturana, Masashi Uenoyama, Sebastian A. Scherer:
Season-Invariant Semantic Segmentation with a Deep Multimodal Network. FSR 2017: 255-270 - [c1]Dong-Ki Kim, Matthew R. Walter:
Satellite image-based localization via learned embeddings. ICRA 2017: 2073-2080 - [i2]Dong-Ki Kim, Matthew R. Walter:
Satellite Image-based Localization via Learned Embeddings. CoRR abs/1704.01133 (2017) - [i1]Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How:
Crossmodal Attentive Skill Learner. CoRR abs/1711.10314 (2017)
Coauthor Index
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