Dong Ki Kim
Dong Ki Kim
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Cited by
Cited by
Deep neural network for real-time autonomous indoor navigation
DK Kim, T Chen
arXiv preprint arXiv:1511.04668, 2015
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
Satellite image-based localization via learned embeddings
DK Kim, MR Walter
IEEE International Conference on Robotics and Automation (ICRA), 2073-2080, 2017
You are here: Mimicking the human thinking process in reading floor-plans
H Chu, DK Kim, T Chen
IEEE International Conference on Computer Vision (ICCV), 2210-2218, 2015
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
Learning Hierarchical Teaching Policies for Cooperative Agents
DK Kim, M Liu, S Omidshafiei, S Lopez-Cot, M Riemer, G Habibi, ...
International Conference on Autonomous Agents and MultiAgent Systems (AAMAS …, 2020
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
Policy distillation and value matching in multiagent reinforcement learning
S Wadhwania, DK Kim, S Omidshafiei, JP How
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019
Crossmodal attentive skill learner
S Omidshafiei, DK Kim, J Pazis, JP How
International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2017
Efficient Guided Policy Search via Imitation of Robust Tube MPC
A Tagliabue, DK Kim, M Everett, JP How
arXiv preprint arXiv:2109.09910 (Accepted to ICRA-22), 2021
Context-Specific Representation Abstraction for Deep Option Learning
M Abdulhai, DK Kim, M Riemer, M Liu, G Tesauro, JP How
arXiv preprint arXiv:2109.09876 (Accepted to AAAI-22), 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
C Sun, DK Kim, JP How
arXiv preprint arXiv:2109.06795 (Accepted to ICRA-22), 2021
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
Online Semantic Mapping for Autonomous Navigation and Scouting
D Maturana, S Arora, P Chou, D Kim, M Uenoyama, S Scherer
City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent
LM Downes, DK Kim, TJ Steiner, JP How
arXiv preprint arXiv:2203.05612, 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
DK Kim, M Riemer, M Liu, JN Foerster, M Everett, C Sun, G Tesauro, ...
arXiv preprint arXiv:2203.03535, 2022
Multiagent Reinforcement Learning
JP How, DK Kim, S Wadhwania
Encyclopedia of Systems and Control, 1359-1367, 2021
Learning to teach and meta-learning for sample-efficient multiagent reinforcement learning
DK Kim
Massachusetts Institute of Technology, 2020
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