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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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