Seo, Younggyo

23 publications

NeurIPS 2025 Coarse-to-Fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning Younggyo Seo, Pieter Abbeel

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

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

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

CoRL 2024 Continuous Control with Coarse-to-Fine Reinforcement Learning Younggyo Seo, Jafar Uruç, Stephen James

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

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

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

ICMLW 2023 Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee

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

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

NeurIPSW 2022 Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization Changyeon Kim, Junsu Kim, Younggyo Seo, Kimin Lee, Honglak Lee, Jinwoo Shin

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

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

ICLR 2022 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

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

NeurIPS 2021 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

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

NeurIPSW 2021 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

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

ICML 2020 Context-Aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin

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

NeurIPS 2020 Trajectory-Wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel