Seohong Park

[Pronunciation: "suh-hong" ("Seo" as in "Seoul")]

Hello! I am a Ph.D. student at UC Berkeley advised by Sergey Levine. I am interested in developing better reinforcement learning (RL) algorithms and understanding their mathematical properties. More specifically, I am currently working on unsupervised RL, and goal-conditioned RL, and offline RL.

CV | Email | Twitter | Google Scholar | Github


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Publications and Preprints
(*: equal contribution)
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park, Oleh Rybkin, Sergey Levine
ICLR 2024 (Oral)
paper | code | thread | project page

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine
NeurIPS 2023 (Spotlight)
paper | code | thread | talk (5 min) | project page

Controllability-Aware Unsupervised Skill Discovery
Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel
ICML 2023
paper | code1 | code2 | thread | project page

Predictable MDP Abstraction for Unsupervised Model-Based RL
Seohong Park, Sergey Levine
ICML 2023
paper | code | thread | project page

Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
Jaekyeom Kim, Seohong Park, Gunhee Kim
NeurIPS 2022
paper | code

Lipschitz-constrained Unsupervised Skill Discovery
Seohong Park, Jongwook Choi*, Jaekyeom Kim*, Honglak Lee, Gunhee Kim
ICLR 2022
paper | code | thread | project page

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park, Jaekyeom Kim, Gunhee Kim
NeurIPS 2021
paper | code

Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim*, Seohong Park*, Gunhee Kim
ICML 2021
paper | code

Education

University of California, Berkeley (Aug 2022 - Present)

Ph.D. student in Computer Science

Seoul National University (Mar 2014 - Aug 2022)

B.S. in Computer Science and Engineering
Leave of absence for military service: Sep 2017 - Sep 2020 (3 years)

The University of Tokyo (Sep 2016 - Feb 2017)

Exchange student

Work Experience

Devsisters (Sep 2018 - Sep 2020)

Machine Learning Engineer
Worked as part of the mandatory military service in the Republic of Korea

Ace Project (Sep 2017 - Aug 2018)

Software Engineer
Worked as part of the mandatory military service in the Republic of Korea

Honors and Awards

Scholarships

KFAS Overseas PhD Scholarship (Aug 2022 - Present)

Korea Foundation for Advanced Studies (KFAS)
Full tuition, insurance, and living expenses support for graduate studies

Berkeley Fellowship (Aug 2022 - Aug 2023)

Presidential Science Scholarship (Mar 2014 - Aug 2022)

Korea Student Aid Foundation (KOSAF)
Full tuition and living expenses support for undergraduate studies

Awards

Gold Prize (1st Place in Signal Processing), Samsung Humantech Paper Award (Jan 2022)

Programming Contests (Selected)

2nd Place, ACM-ICPC Asia Daejeon Regional Contest (Nov 2016)

1st Place, Google Code Jam Round 1C (May 2016)

3rd Place, ACM-ICPC Asia Daejeon Regional Contest (Nov 2015)

1st Place, ACM-ICPC Asia Daejeon Regional Preliminary Contest (Oct 2015)

1st Place, Korea Olympiad in Informatics (KOI) (Jul 2012)

Codeforces: polequoll


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