Younggyo Seo

53 papers A* 14A 1B 1Misc 4Journal 32Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
RPL: Learning Robust Humanoid Perceptive Locomotion on Challenging Terrains.
CoRR
Yuanhang Zhang, Younggyo Seo, Juyue Chen, Yifu Yuan, Koushil Sreenath, Pieter Abbeel, Carmelo Sferrazza, C. Karen Liu, Rocky Duan, Guanya Shi
2026 J jnl
RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models.
CoRR
Dongyoung Kim, Sumin Park, Woomin Song, Seungku Kim, TaeYoung Kim, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo
2025 J jnl
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context.
CoRR
Huiwon Jang, Sihyun Yu, Heeseung Kwon, Hojin Jeon, Younggyo Seo, Jinwoo Shin
2025 J jnl
Contrastive Representation Regularization for Vision-Language-Action Models.
CoRR
TaeYoung Kim, Jimin Lee, Myungkyu Koo, Dongyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin
2025 J jnl
DEAS: DEtached value learning with Action Sequence for Scalable Offline RL.
CoRR
Changyeon Kim, Haeone Lee, Younggyo Seo, Kimin Lee, Yuke Zhu
2025 A* conf
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.
CVPR
Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2025 J jnl
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control.
CoRR
Younggyo Seo, Carmelo Sferrazza, Haoran Geng, Michal Nauman, Zhao-Heng Yin, Pieter Abbeel
2025 J jnl
HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy.
CoRR
Myungkyu Koo, Daewon Choi, TaeYoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin
2025 J jnl
Learning Sim-to-Real Humanoid Locomotion in 15 Minutes.
CoRR
Younggyo Seo, Carmelo Sferrazza, Juyue Chen, Guanya Shi, Rocky Duan, Pieter Abbeel
2025 J jnl
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics.
CoRR
Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo
2024 Misc conf
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark.
CoRL
Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James
2024 J jnl
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark.
CoRR
Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James
2024 Misc conf
Continuous Control with Coarse-to-fine Reinforcement Learning.
CoRL
Younggyo Seo, Jafar Uruç, Stephen James
2024 J jnl
Continuous Control with Coarse-to-fine Reinforcement Learning.
CoRR
Younggyo Seo, Jafar Uruç, Stephen James
2024 J jnl
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.
CoRR
Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2024 J jnl
Reinforcement Learning with Action Sequence for Data-Efficient Robot Learning.
CoRR
Younggyo Seo, Pieter Abbeel
2024 — conf
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning.
Robotics: Science and Systems
Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James
2024 J jnl
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning.
CoRR
Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James
2024 A conf
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning.
IROS
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
2024 A* conf
Visual Representation Learning with Stochastic Frame Prediction.
ICML
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2024 J jnl
Visual Representation Learning with Stochastic Frame Prediction.
CoRR
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2023 A* conf
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration.
NeurIPS
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2023 J jnl
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration.
CoRR
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2023 A* conf
Guide Your Agent with Adaptive Multimodal Rewards.
NeurIPS
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
2023 J jnl
Guide Your Agent with Adaptive Multimodal Rewards.
CoRR
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
2023 A* conf
Imitating Graph-Based Planning with Goal-Conditioned Policies.
ICLR
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
2023 J jnl
Imitating Graph-Based Planning with Goal-Conditioned Policies.
CoRR
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
2023 J jnl
Language Reward Modulation for Pretraining Reinforcement Learning.
CoRR
Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel
2023 A* conf
Multi-View Masked World Models for Visual Robotic Manipulation.
ICML
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
2023 J jnl
Multi-View Masked World Models for Visual Robotic Manipulation.
CoRR
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
2023 J jnl
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning.
CoRR
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
2022 B conf
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.
ICIP
Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel
2022 J jnl
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.
CoRR
Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel
2022 Misc conf
Masked World Models for Visual Control.
CoRL
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022 J jnl
Masked World Models for Visual Control.
CoRR
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022 A* conf
Reinforcement Learning with Action-Free Pre-Training from Videos.
ICML
Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel
2022 J jnl
Reinforcement Learning with Action-Free Pre-Training from Videos.
CoRR
Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel
2022 A* conf
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
ICLR
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2022 J jnl
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
CoRR
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2021 A* conf
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning.
NeurIPS
Junsu Kim, Younggyo Seo, Jinwoo Shin
2021 J jnl
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning.
CoRR
Junsu Kim, Younggyo Seo, Jinwoo Shin
2021 A* conf
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.
NeurIPS
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021 J jnl
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.
CoRR
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021 Misc conf
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.
CoRL
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
2021 J jnl
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.
CoRR
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
2021 A* conf
State Entropy Maximization with Random Encoders for Efficient Exploration.
ICML
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2021 J jnl
State Entropy Maximization with Random Encoders for Efficient Exploration.
CoRR
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
2020 A* conf
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.
ICML
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
2020 J jnl
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.
CoRR
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
2020 A* conf
Learning What to Defer for Maximum Independent Sets.
ICML
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
2020 J jnl
Learning What to Defer for Maximum Independent Sets.
CoRR
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
2020 A* conf
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
NeurIPS
Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
2020 J jnl
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
CoRR
Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel