Jongwook Choi

Jongwook Choi

University of Michigan

H-index: 11

North America-United States

About Jongwook Choi

Jongwook Choi, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Machine Learning, Deep Learning, Reinforcement Learning, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fast inference and transfer of compositional task structures for few-shot task generalization

Lipschitz-constrained Unsupervised Skill Discovery

Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks

Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning

Environment generation for zero-shot compositional reinforcement learning

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

Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards

Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies

Jongwook Choi Information

University

Position

___

Citations(all)

1210

Citations(since 2020)

1117

Cited By

440

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Jongwook Choi Skills & Research Interests

Machine Learning

Deep Learning

Reinforcement Learning

Artificial Intelligence

Top articles of Jongwook Choi

Title

Journal

Author(s)

Publication Date

Fast inference and transfer of compositional task structures for few-shot task generalization

Sungryull Sohn

Hyunjae Woo

Jongwook Choi

Lyubing Qiang

Izzeddin Gur

...

2022/8/17

Lipschitz-constrained Unsupervised Skill Discovery

Seohong Park

Jongwook Choi

Jaekyeom Kim

Honglak Lee

Gunhee Kim

2022/2/2

Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks

Sungryull Sohn

Sungtae Lee

Jongwook Choi

Harm van Seijen

Mehdi Fatemi

...

2021/7/13

Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning

arXiv preprint arXiv:2106.01404

Jongwook Choi

Archit Sharma

Honglak Lee

Sergey Levine

Shixiang Shane Gu

2021/6/2

Environment generation for zero-shot compositional reinforcement learning

Advances in Neural Information Processing Systems

Izzeddin Gur

Natasha Jaques

Yingjie Miao

Jongwook Choi

Manoj Tiwari

...

2021/12/6

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

NeurIPS 2021 (Advances in neural information processing systems)

Christopher Hoang

Sungryull Sohn

Jongwook Choi

Wilka Carvalho

Honglak Lee

2021/12/6

Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards

Advances in Neural Information Processing Systems

Yijie Guo

Jongwook Choi

Marcin Moczulski

Shengyu Feng

Samy Bengio

...

2020

Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies

Sungryull Sohn

Hyunjae Woo

Jongwook Choi

Honglak Lee

2020/1/1

See List of Professors in Jongwook Choi University(University of Michigan)

Co-Authors

H-index: 91
Honglak Lee

Honglak Lee

University of Michigan

H-index: 47
Gunhee Kim

Gunhee Kim

Seoul National University

H-index: 25
Seunghoon Hong

Seunghoon Hong

KAIST

H-index: 22
YoungJae Yu

YoungJae Yu

Seoul National University

H-index: 9
Marcin Moczulski

Marcin Moczulski

University of Oxford

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