Younggyo Seo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 36

Top Topics

Eligibility Traces

Reinforcement Learning

Top Venues

Publications

Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning. CoRR (2024)
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Visual Representation Learning with Stochastic Frame Prediction. CoRR (2024)
Younggyo Seo, Jafar Uruç, Stephen James
Continuous Control with Coarse-to-fine Reinforcement Learning. CoRR (2024)
Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. CoRR (2024)
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
Multi-View Masked World Models for Visual Robotic Manipulation. ICML (2023)
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
Guide Your Agent with Adaptive Multimodal Rewards. NeurIPS (2023)
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR (2023)
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. NeurIPS (2023)
Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
Imitating Graph-Based Planning with Goal-Conditioned Policies. ICLR (2023)
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
Multi-View Masked World Models for Visual Robotic Manipulation. CoRR (2023)
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. CoRR (2023)
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
Guide Your Agent with Adaptive Multimodal Rewards. CoRR (2023)
Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel
Language Reward Modulation for Pretraining Reinforcement Learning. CoRR (2023)
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. CoRR (2023)
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. ICLR (2022)
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. CoRR (2022)
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
Masked World Models for Visual Control. CoRL (2022)
Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. ICIP (2022)
Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. CoRR (2022)
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
Masked World Models for Visual Control. CoRR (2022)
Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel
Reinforcement Learning with Action-Free Pre-Training from Videos. CoRR (2022)
Younggyo Seo, Kimin Lee, Stephen L. James, Pieter Abbeel
Reinforcement Learning with Action-Free Pre-Training from Videos. ICML (2022)
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
State Entropy Maximization with Random Encoders for Efficient Exploration. ICML (2021)
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRR (2021)
Junsu Kim, Younggyo Seo, Jinwoo Shin
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. NeurIPS (2021)
Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRL (2021)
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
State Entropy Maximization with Random Encoders for Efficient Exploration. CoRR (2021)
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. NeurIPS (2021)
Junsu Kim, Younggyo Seo, Jinwoo Shin
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. CoRR (2021)
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. CoRR (2021)
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
Learning What to Defer for Maximum Independent Sets. ICML (2020)
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. ICML (2020)
Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR (2020)
Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. NeurIPS (2020)
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. CoRR (2020)
Sungsoo Ahn, Younggyo Seo, Jinwoo Shin
Learning What to Defer for Maximum Independent Sets. CoRR (2020)