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Large-scale Localization Datasets in Crowded Indoor Spaces


May 19, 2021
Donghwan Lee, Soohyun Ryu, Suyong Yeon, Yonghan Lee, Deokhwa Kim, Cheolho Han, Yohann Cabon, Philippe Weinzaepfel, Nicolas Guérin, Gabriela Csurka, Martin Humenberger


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Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction


Mar 14, 2021
Donghwan Lee, Niao He, Seungjae Lee, Panagiota Karava, Jianghai Hu


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Finite-Time Error Analysis of Asynchronous Q-Learning with Discrete-Time Switching System Models


Feb 22, 2021
Donghwan Lee


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Finite-Time Analysis of Asynchronous Q-Learning with Discrete-Time Switching System Models


Feb 17, 2021
Donghwan Lee


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SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments


Nov 10, 2020
Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee


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Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features


Oct 13, 2020
Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim


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SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction


Oct 06, 2020
Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim


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Periodic Q-Learning


Feb 23, 2020
Donghwan Lee, Niao He


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A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms


Dec 12, 2019
Donghwan Lee, Niao He


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Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents


Dec 01, 2019
Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher


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Target-Based Temporal Difference Learning


Apr 24, 2019
Donghwan Lee, Niao He


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Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems


Dec 13, 2018
Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan

* AIAA SciTech 2019 

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Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process


Sep 24, 2018
Hyung-Jin Yoon, Donghwan Lee, Naira Hovakimyan


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