| Learning to teach in cooperative multiagent reinforcement learning S Omidshafiei, DK Kim, M Liu, G Tesauro, M Riemer, C Amato, ... AAAI 2019, Best Student Paper Honorable Mention 33, 6128-6136, 2019 | 166 | 2019 |
| Deep neural network for real-time autonomous indoor navigation DK Kim, T Chen arXiv preprint arXiv:1511.04668, 2015 | 165 | 2015 |
| A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning DK Kim, M Liu, M Riemer, C Sun, M Abdulhai, G Habibi, S Lopez-Cot, ... International Conference on Machine Learning (ICML), 5541-5550, 2021 | 77 | 2021 |
| Satellite image-based localization via learned embeddings DK Kim, MR Walter IEEE International Conference on Robotics and Automation (ICRA), 2073-2080, 2017 | 72 | 2017 |
| Toward general-purpose robots via foundation models: A survey and meta-analysis Y Hu, Q Xie, V Jain, J Francis, J Patrikar, N Keetha, S Kim, Y Xie, T Zhang, ... arXiv preprint arXiv:2312.08782, 2023 | 68 | 2023 |
| Learning hierarchical teaching policies for cooperative agents DK Kim, M Liu, S Omidshafiei, S Lopez-Cot, M Riemer, G Habibi, ... arXiv preprint arXiv:1903.03216 (Accepted to AAMAS 2020), 2019 | 49* | 2019 |
| Season-invariant semantic segmentation with a deep multimodal network DK Kim, D Maturana, M Uenoyama, S Scherer Field and service robotics (FSR), 255-270, 2018 | 39 | 2018 |
| You are here: Mimicking the human thinking process in reading floor-plans H Chu, DK Kim, T Chen International Conference on Computer Vision (ICCV), 2210-2218, 2015 | 38 | 2015 |
| Policy distillation and value matching in multiagent reinforcement learning S Wadhwania, DK Kim, S Omidshafiei, JP How International Conference on Intelligent Robots and Systems (IROS), 8193-8200, 2019 | 36 | 2019 |
| Efficient guided policy search via imitation of robust tube MPC A Tagliabue, DK Kim, M Everett, JP How International Conference on Robotics and Automation (ICRA), 462-468, 2022 | 28 | 2022 |
| Influencing long-term behavior in multiagent reinforcement learning DK Kim, M Riemer, M Liu, J Foerster, M Everett, C Sun, G Tesauro, ... Advances in Neural Information Processing Systems 35, 18808-18821, 2022 | 22 | 2022 |
| Romax: Certifiably robust deep multiagent reinforcement learning via convex relaxation C Sun, DK Kim, JP How International Conference on Robotics and Automation (ICRA), 5503-5510, 2022 | 21 | 2022 |
| AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents Y Fu*, DK Kim*, J Kim, S Sohn, L Logeswaran, K Bae, H Lee arXiv preprint arXiv:2403.08978 (accepted to NeurIPS 2024), 2024 | 20* | 2024 |
| City-wide street-to-satellite image geolocalization of a mobile ground agent LM Downes, DK Kim, TJ Steiner, JP How IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2022 | 19 | 2022 |
| Crossmodal attentive skill learner S Omidshafiei, DK Kim, J Pazis, JP How International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2017 | 17* | 2017 |
| Context-specific representation abstraction for deep option learning M Abdulhai, DK Kim, M Riemer, M Liu, G Tesauro, JP How Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 5959-5967, 2022 | 15 | 2022 |
| FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimize C Sun, DK Kim, JP How IEEE International Conference on Robotics and Automation (ICRA), 10617-10624, 2021 | 9 | 2021 |
| Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria DK Kim, M Riemer, M Liu, JN Foerster, G Tesauro, JP How arXiv preprint arXiv:2210.16175 (Accepted to CoRL Strategic Multi-Agent …, 2022 | 5 | 2022 |
| Auto-intent: Automated intent discovery and self-exploration for large language model web agents J Kim, DK Kim, L Logeswaran, S Sohn, H Lee arXiv preprint arXiv:2410.22552, 2024 | 4 | 2024 |
| TOD-Flow: Modeling the Structure of Task-Oriented Dialogues S Sohn, Y Lyu, A Liu, L Logeswaran, DK Kim, D Shim, H Lee arXiv preprint arXiv:2312.04668 (EMNLP 2023), 2023 | 2 | 2023 |
Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
