Publications — Younggyo Seo

Learning Sim-to-Real Humanoid Locomotion in 15 Minutes Younggyo Seo*, Carmelo Sferrazza*, Juyue Chen, Guanya Shi, Rocky Duan, Pieter Abbeel Technical Report, 2025 Paper Website Code

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control Younggyo Seo, Carmelo Sferrazza, Haoran Geng, Michal Nauman, Zhao-Heng Yin, Pieter Abbeel Technical Report, 2025 Paper Website Code

RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models Dongyoung Kim, Sumin Park, Woomin Song, Seungku Kim, Taeyoung Kim, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo Preprint, 2026 Paper

HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy Myungkyu Koo*, Daewon Choi*, Taeyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo**, Jinwoo Shin** ICLR, 2026 Paper

ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context Huiwon Jang, Sihyun Yu, Heeseung Kwon, Hojin Jeon, Younggyo Seo**, Jinwoo Shin** Preprint, 2025 Paper

DEAS: Detached Value Learning with Action Sequence for Scalable Offline RL Changyeon Kim, Haeone Lee, Younggyo Seo, Kimin Lee, Yuke Zhu ICLR, 2026 Paper

Contrastive Representation Regularization for Vision-Language-Action Models Taeyoung Kim, Jimin Lee, Myungkyu Koo, Dongyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo**, Jinwoo Shin** ICML, 2026 Paper

Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim**, Younggyo Seo** NeurIPS, 2025 Paper

Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Robot Learning Younggyo Seo, Pieter Abbeel NeurIPS, 2025 Paper Website Code

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo CVPR, 2025 Paper Website Code

Continuous Control with Coarse-to-fine Reinforcement Learning Younggyo Seo, Jafar Uruç, Stephen James CoRL, 2024 Paper Website Code

BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark Nikita Cherniadev*, Nicholas Backshall*, Xiao Ma*, Yunfan Lu, Younggyo Seo, Stephen James CoRL, 2024 Paper Website Code

The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel IROS, 2024 Paper Code

Visual Representation Learning with Stochastic Frame Prediction Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo ICML, 2024 Paper Website

Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James RSS, 2024 Paper Website

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo NeurIPS, 2023 Paper Website Code

Guide Your Agents with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Honglak Lee, Jinwoo Shin, Kimin Lee NeurIPS, 2023 Paper Website Code

Multi-View Masked World Models for Visual Robotic Manipulation Younggyo Seo*, Junsu Kim*, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel ICML, 2023 Paper Website Code

Language Reward Modulation for Pretraining Reinforcement Learning Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel Preprint, 2023 Paper Code

Imitating Graph-Based Planning with Goal-Conditioned Policies Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin ICLR, 2023 Paper

Masked World Models for Visual Control Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel CoRL, 2022 Paper Website Code

Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization Changyeon Kim*, Junsu Kim*, Younggyo Seo, Kimin Lee, Honglak Lee, Jinwoo Shin NeurIPS Workshop on Offline Reinforcement Learning, 2022 Paper

Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel ICML, 2022 Paper Website Code

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel ICIP, 2022 Paper

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee ICLR, 2022 Paper Code

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning Jongjin Park*, Younggyo Seo*, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu NeurIPS, 2021 Paper Article Code

Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsu Kim, Younggyo Seo, Jinwoo Shin NeurIPS, 2021 Paper Code

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee*, Younggyo Seo*, Kimin Lee, Pieter Abbeel, Jinwoo Shin CoRL, 2021 Paper Code

State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo*, Lili Chen*, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee ICML, 2021 Paper Website Code

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo*, Kimin Lee*, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel NeurIPS, 2020 Paper Website Code

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee*, Younggyo Seo*, Seunghyun Lee, Honglak Lee, Jinwoo Shin ICML, 2020 Paper Website Code

Learning What to Defer for Maximum Independent Sets Sungsoo Ahn, Younggyo Seo, Jinwoo Shin ICML, 2020 Paper Code