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Seohong Park

14 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (21) 🌍 Conference Polyglot Β· Bronze πŸ† Keyword Champion πŸ‘‘ Triple Crown
πŸ—ƒοΈ Keyword Collector (63) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze

Venues

ICML (6) NeurIPS (4) ICLR (3) CoRL (1)

Top co-authors

Sergey Levine (9) Jaekyeom Kim (4) Gunhee Kim (4) Kevin Frans (3) Benjamin Eysenbach (2) Pieter Abbeel (2) Andrew Wagenmaker (1) Honglak Lee (1) Tobias Kreiman (1) Jongwook Choi (1)

Research topics

Machine Learning (12) Reinforcement Learning (11) Learning Types Β· Machine Learning (10) Methods (10) Artificial Intelligence (7) Core AI (7) Robotics (3) Core Methods (3) Capabilities (2) Optimization & Theory (2) Deep Learning (1) Knowledge & Reasoning (1) Applications Β· Robotics (1) Applications Β· Reinforcement Learning (1) Learning Types Β· Deep Learning (1)

Keywords

representation learning (5) offline reinforcement learning (4) skill discovery (3) reinforcement learning (3) latent space (2) unsupervised learning (2) goal-conditioned reinforcement learning (2) unsupervised skill discovery (2) behavioral cloning (2) zero-shot learning (2) metric learning (1) hierarchical learning (1) policy learning (1) transformer (1) policy gradient (1) sample efficiency (1) information bottleneck (1) markov decision process (1) transfer learning (1) predictive modeling (1)

Papers

Flow Q-Learning ICML 2025 OGBench: Benchmarking Offline Goal-Conditioned RL ICLR 2025 Steering Your Diffusion Policy with Latent Space Reinforcement Learning CoRL 2025 Foundation Policies with Hilbert Representations ICML 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 METRA: Scalable Unsupervised RL with Metric-Aware Abstraction ICLR 2024 Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings ICML 2024 Controllability-Aware Unsupervised Skill Discovery ICML 2023 HIQL: Offline Goal-Conditioned RL with Latent States as Actions NeurIPS 2023 Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023 Constrained GPI for Zero-Shot Transfer in Reinforcement Learning NeurIPS 2022 Lipschitz-constrained Unsupervised Skill Discovery ICLR 2022 Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods NeurIPS 2021 Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021