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Honglak Lee

Diversity-Sensitive Conditional Generative Adversarial Networks

Jan 25, 2019
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee

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* Accepted as a conference paper at ICLR 2019

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Learning Latent Dynamics for Planning from Pixels

Dec 03, 2018
Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

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* 10 pages, 5 figures, 1 table

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Contingency-Aware Exploration in Reinforcement Learning

Nov 05, 2018
Jongwook Choi, Yijie Guo, Marcin Moczulski, Junhyuk Oh, Neal Wu, Mohammad Norouzi, Honglak Lee

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* Preprint, work in progress. Under review at ICLR 2019

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A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Oct 27, 2018
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin

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* Accepted in NIPS 2018

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Data-Efficient Hierarchical Reinforcement Learning

Oct 05, 2018
Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine

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* NIPS 2018

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