Seohong Park
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
3
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | OGBench: Benchmarking Offline Goal-Conditioned RL. | Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine |
| 2025 | ICML | Flow Q-Learning. | Seohong Park, Qiyang Li, Sergey Levine |
| 2025 | ICRA | GHIL-Glue: Hierarchical Control with Filtered Subgoal Images. | Kyle Beltran Hatch, Ashwin Balakrishna, Oier Mees, Suraj Nair, Seohong Park, Blake Wulfe, Masha Itkina, Benjamin Eysenbach, Sergey Levine, Thomas Kollar, Benjamin Burchfiel |
| 2024 | ICLR | METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. | Seohong Park, Oleh Rybkin, Sergey Levine |
| 2024 | ICML | Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings. | Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine |
| 2024 | ICML | Foundation Policies with Hilbert Representations. | Seohong Park, Tobias Kreiman, Sergey Levine |
| 2023 | ICML | Predictable MDP Abstraction for Unsupervised Model-Based RL. | Seohong Park, Sergey Levine |
| 2023 | ICML | Controllability-Aware Unsupervised Skill Discovery. | Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel |
| 2022 | ICLR | Lipschitz-constrained Unsupervised Skill Discovery. | Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim |
| 2021 | ICML | Unsupervised Skill Discovery with Bottleneck Option Learning. | Jaekyeom Kim, Seohong Park, Gunhee Kim |