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Learning Parameterized Task Structure for Generalization to Unseen Entities


Mar 28, 2022
Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee

* Published in AAAI 2022 

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Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning


Nov 18, 2021
Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee

* NeurIPS 2021. Video and code at https://2016choang.github.io/sfl 

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Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks


Jul 13, 2021
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee

* In proceedings of ICML 2021 

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Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments


Oct 28, 2020
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh


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BRPO: Batch Residual Policy Optimization


Feb 08, 2020
Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed Chi, Craig Boutilier


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Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies


Jan 01, 2020
Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee

* In ICLR 2020 

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Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies


Nov 02, 2018
Sungryull Sohn, Junhyuk Oh, Honglak Lee

* In NIPS 2018 

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Learning to Generate Long-term Future via Hierarchical Prediction


Jan 08, 2018
Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee

* International Conference on Machine Learning (ICML) 2017 

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