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Daniel D. Lee

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Learning Q-network for Active Information Acquisition

Oct 23, 2019
Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas

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Higher Order Function Networks for View Planning and Multi-View Reconstruction

Oct 04, 2019
Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee

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Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning

Jan 01, 2019
Jinwook Huh, Omur Arslan, Daniel D. Lee

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Assumed Density Filtering Q-learning

Oct 05, 2018
Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee

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U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification

Sep 18, 2018
Ty Nguyen, Tolga Ozaslan, Ian D. Miller, James Keller, Giuseppe Loianno, Camillo J. Taylor, Daniel D. Lee, Vijay Kumar, Joseph H. Harwood, Jennifer Wozencraft

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Learning Optimal Resource Allocations in Wireless Systems

Jul 21, 2018
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro

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Classification and Geometry of General Perceptual Manifolds

Jun 24, 2018
SueYeon Chung, Daniel D. Lee, Haim Sompolinsky

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Learning Implicit Sampling Distributions for Motion Planning

Jun 06, 2018
Clark Zhang, Jinwook Huh, Daniel D. Lee

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Nearest neighbor density functional estimation based on inverse Laplace transform

May 22, 2018
Shouvik Ganguly, Jongha Ryu, Young-Han Kim, Yung-Kyun Noh, Daniel D. Lee

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Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients

May 22, 2018
Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro

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