Seohong Park
14 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (5) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
π
Triple Crown
β
The Questioner
π₯
Unstoppable
(5)
π
Century Club
(14)
Conferences
ICML (6)
NIPS (4)
ICLR (3)
CORL (1)
Top co-authors
Keywords
offline reinforcement learning
(2)
unsupervised skill discovery
(2)
reinforcement learning
(2)
zero-shot learning
(1)
imitation learning
(1)
transfer learning
(1)
information bottleneck
(1)
policy gradient
(1)
hierarchical learning
(1)
hierarchical reinforcement learning
(1)
behavior cloning
(1)
predictive modeling
(1)
markov decision process
(1)
value function
(1)
model-based reinforcement learning
(1)
variance reduction
(1)
skill discovery
(1)
latent representation
(1)
successor feature
(1)
goal-conditioned reinforcement learning
(1)
Papers
Flow Q-Learning
ICML 2025
Steering Your Diffusion Policy with Latent Space Reinforcement Learning
CORL 2025
OGBench: Benchmarking Offline Goal-Conditioned RL
ICLR 2025
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
ICML 2024
Foundation Policies with Hilbert Representations
ICML 2024
Is Value Learning Really the Main Bottleneck in Offline RL?
NIPS 2024
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
ICLR 2024
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
NIPS 2023
Controllability-Aware Unsupervised Skill Discovery
ICML 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
ICML 2023
Lipschitz-constrained Unsupervised Skill Discovery
ICLR 2022
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
NIPS 2022
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
NIPS 2021
Unsupervised Skill Discovery with Bottleneck Option Learning
ICML 2021