Younggyo Seo
19 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (5)
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Conference Polyglot
(6)
π
Academic Marathon
(5)
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Dynamic Duo
(14)
π
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π§¬
Topic Evolution
ποΈ
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(67)
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Century Club
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Unstoppable
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Conferences
ICML (6)
NIPS (5)
CORL (4)
ICLR (2)
CVPR (1)
RSS (1)
Top co-authors
Keywords
world model
(3)
model-based reinforcement learning
(3)
imitation learning
(2)
reinforcement learning
(2)
intrinsic reward
(2)
representation learning
(2)
state entropy
(2)
self-supervised learning
(2)
dynamics model
(2)
vector quantization
(1)
behavior cloning
(1)
robot learning
(1)
offline reinforcement learning
(1)
hierarchical reinforcement learning
(1)
intrinsic motivation
(1)
vision transformer
(1)
online reinforcement learning
(1)
value estimation
(1)
video prediction
(1)
generalization ability
(1)
Papers
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction
CVPR 2025
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning
RSS 2024
Continuous Control with Coarse-to-fine Reinforcement Learning
CORL 2024
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
CORL 2024
Visual Representation Learning with Stochastic Frame Prediction
ICML 2024
Guide Your Agent with Adaptive Multimodal Rewards
NIPS 2023
Multi-View Masked World Models for Visual Robotic Manipulation
ICML 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
NIPS 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies
ICLR 2023
Reinforcement Learning with Action-Free Pre-Training from Videos
ICML 2022
Masked World Models for Visual Control
CORL 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
ICLR 2022
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
CORL 2021
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
NIPS 2021
State Entropy Maximization with Random Encoders for Efficient Exploration
ICML 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
NIPS 2021
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
NIPS 2020
Learning What to Defer for Maximum Independent Sets
ICML 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
ICML 2020