Dong-Ki Kim - RankMe

49 papers A* 12A 4Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ELLIPSE: Evidential Learning for Robust Waypoints and Uncertainties. CoRR Zihao Dong, Chanyoung Chung, Dong-Ki Kim, Mukhtar Maulimov, Xiangyun Meng, Harmish Khambhaita, Ali-Akbar Agha-Mohammadi, Amirreza Shaban
2026	J	`jnl`	Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation. CoRR Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil
2025	J	`jnl`	Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks. CoRR Aileen Liao, Dong-Ki Kim, Max Olan Smith, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei
2025	J	`jnl`	Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered. CoRR Jason Jabbour, Dong-Ki Kim, Max Olan Smith, Jay Patrikar, Radhika Ghosal, Youhui Wang, Ali Agha, Vijay Janapa Reddi, Shayegan Omidshafiei
2025	J	`jnl`	Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering. CoRR Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David D. Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei
2025	J	`jnl`	GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment. CoRR Haoyang He, Jay Patrikar, Dong-Ki Kim, Max Smith, Daniel McGann, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei, Sebastian Scherer
2025	J	`jnl`	Planning with Sketch-Guided Verification for Physics-Aware Video Generation. CoRR Yidong Huang, Zun Wang, Han Lin, Dong-Ki Kim, Shayegan Omidshafiei, Jaehong Yoon, Yue Zhang, Mohit Bansal
2025	A*	`conf`	SayComply: Grounding Field Robotic Tasks in Operational Compliance Through Retrieval-Based Language Models. ICRA Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi
2025	A*	`conf`	Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents. CVPR Yunseok Jang, Yeda Song, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Dong-Ki Kim, Kyunghoon Bae, Honglak Lee
2025	J	`jnl`	Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents. CoRR Yunseok Jang, Yeda Song, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Dong-Ki Kim, Kyunghoon Bae, Honglak Lee
2025	J	`jnl`	StageACT: Stage-Conditioned Imitation for Robust Humanoid Door Opening. CoRR Moonyoung Lee, Dong-Ki Kim, Bandi Jai Krishna, Max Olan Smith, Aileen Liao, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei
2025	J	`jnl`	VENTURA: Adapting Image Diffusion Models for Unified Task Conditioned Navigation. CoRR Arthur Zhang, Xiangyun Meng, Luca Calliari, Dong-Ki Kim, Shayegan Omidshafiei, Joydeep Biswas, Ali Agha, Amirreza Shaban
2024	—	`conf`	Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. EMNLP (Findings) Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
2024	J	`jnl`	Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. CoRR Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
2024	A*	`conf`	AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents. NeurIPS Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
2024	J	`jnl`	AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents. CoRR Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
2024	—	`conf`	Code Models are Zero-shot Precondition Reasoners. NAACL-HLT Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2024	J	`jnl`	SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models. CoRR Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi
2023	J	`jnl`	Code Models are Zero-shot Precondition Reasoners. CoRR Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2023	J	`jnl`	MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee
2023	A*	`conf`	TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. EMNLP Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
2023	J	`jnl`	TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. CoRR Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
2022	A	`conf`	City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. IROS Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
2022	J	`jnl`	City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. CoRR Lena M. Downes, Dong-Ki Kim, Ted J. Steiner, Jonathan P. How
2022	A*	`conf`	Context-Specific Representation Abstraction for Deep Option Learning. AAAI Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
2022	A*	`conf`	Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. ICRA Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How
2022	J	`jnl`	Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. CoRR Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How
2022	A*	`conf`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2022	A*	`conf`	ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. ICRA Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2021	A*	`conf`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2021	J	`jnl`	Context-Specific Representation Abstraction for Deep Option Learning. CoRR Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
2021	J	`jnl`	Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. CoRR Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How
2021	A*	`conf`	FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. ICRA Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2021	J	`jnl`	ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. CoRR Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2020	J	`jnl`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2020	J	`jnl`	Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. Auton. Agents Multi Agent Syst. Dong-Ki Kim, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How
2020	A	`conf`	Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2020	J	`jnl`	Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. CoRR Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2019	J	`jnl`	Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2019	A*	`conf`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2019	A	`conf`	Policy Distillation and Value Matching in Multiagent Reinforcement Learning. IROS Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
2019	J	`jnl`	Policy Distillation and Value Matching in Multiagent Reinforcement Learning. CoRR Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
2018	A	`conf`	Crossmodal Attentive Skill Learner. AAMAS Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
2018	J	`jnl`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2017	J	`jnl`	Crossmodal Attentive Skill Learner. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
2017	J	`jnl`	Satellite Image-based Localization via Learned Embeddings. CoRR Dong-Ki Kim, Matthew R. Walter
2017	A*	`conf`	Satellite image-based localization via learned embeddings. ICRA Dong-Ki Kim, Matthew R. Walter
2017	—	`conf`	Season-Invariant Semantic Segmentation with a Deep Multimodal Network. FSR Dong-Ki Kim, Daniel Maturana, Masashi Uenoyama, Sebastian A. Scherer