Sotabase

Career

· Ph.D. student in Computer Science, UC Berkeley2022–
· Machine Learning Engineer, Devsisters2018–2020
· Software Engineer, Ace Project2017–2018

Publications (29)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Neural Information Processing Systems · 2023
102
cited
OGBench: Benchmarking Offline Goal-Conditioned RL
International Conference on Learning Representations · 2024
86
cited
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
International Conference on Learning Representations · 2023
72
cited
Lipschitz-constrained Unsupervised Skill Discovery
International Conference on Learning Representations · 2022
66
cited
Controllability-Aware Unsupervised Skill Discovery
International Conference on Machine Learning · 2023
60
cited
Flow Q-Learning
International Conference on Machine Learning · 2025
60
cited
Foundation Policies with Hilbert Representations
International Conference on Machine Learning · 2024
55
cited
Is Value Learning Really the Main Bottleneck in Offline RL?
Neural Information Processing Systems · 2024
50
cited
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
Annual Meeting of the Association for Computational Linguistics · 2022
44
cited
Unsupervised Skill Discovery with Bottleneck Option Learning
International Conference on Machine Learning · 2021
38
cited
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
arXiv.org · 2025
33
cited
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Neural Information Processing Systems · 2021
28
cited
Horizon Reduction Makes RL Scalable
arXiv.org · 2025
18
cited
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
International Conference on Machine Learning · 2024
18
cited
On-the-fly workload partitioning for integrated CPU/GPU architectures
International Conference on Parallel Architectures and Compilation Techniques · 2018
16
cited
Diffusion Guidance Is a Controllable Policy Improvement Operator
arXiv.org · 2025
13
cited
Predictable MDP Abstraction for Unsupervised Model-Based RL
International Conference on Machine Learning · 2023
10
cited
Unsupervised-to-Online Reinforcement Learning
arXiv.org · 2024
10
cited
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images
IEEE International Conference on Robotics and Automation · 2024
8
cited
A Data Cartography based MixUp for Pre-trained Language Models
North American Chapter of the Association for Computational Linguistics · 2022
7
cited
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Seohong Park | Researcher Profile | Sotabase | Sotabase