default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYounggyo Seo
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c16]Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Visual Representation Learning with Stochastic Frame Prediction. ICML 2024- [i21]Vitalis Vosylius, Younggyo Seo, Jafar Uruç, Stephen James:
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning. CoRR abs/2405.18196 (2024) - [i20]Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Visual Representation Learning with Stochastic Frame Prediction. CoRR abs/2406.07398 (2024) - [i19]Younggyo Seo, Jafar Uruç, Stephen James:
Continuous Control with Coarse-to-fine Reinforcement Learning. CoRR abs/2407.07787 (2024) - [i18]Nikita Chernyadev, Nicholas Backshall, Xiao Ma, Yunfan Lu, Younggyo Seo, Stephen James:
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark. CoRR abs/2407.07788 (2024) - 2023
- [c15]Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin:
Imitating Graph-Based Planning with Goal-Conditioned Policies. ICLR 2023 - [c14]Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel:
Multi-View Masked World Models for Visual Robotic Manipulation. ICML 2023: 30613-30632 - [c13]Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. NeurIPS 2023 - [c12]Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee:
Guide Your Agent with Adaptive Multimodal Rewards. NeurIPS 2023 - [i17]Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel:
Multi-View Masked World Models for Visual Robotic Manipulation. CoRR abs/2302.02408 (2023) - [i16]Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin:
Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR abs/2303.11166 (2023) - [i15]Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo:
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. CoRR abs/2305.19476 (2023) - [i14]Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel:
Language Reward Modulation for Pretraining Reinforcement Learning. CoRR abs/2308.12270 (2023) - [i13]Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee:
Guide Your Agent with Adaptive Multimodal Rewards. CoRR abs/2309.10790 (2023) - [i12]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 abs/2311.00924 (2023) - 2022
- [c11]Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel:
Masked World Models for Visual Control. CoRL 2022: 1332-1344 - [c10]Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel:
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. ICIP 2022: 3943-3947 - [c9]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 - [c8]Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel:
Reinforcement Learning with Action-Free Pre-Training from Videos. ICML 2022: 19561-19579 - [i11]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 abs/2203.10050 (2022) - [i10]Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel:
Reinforcement Learning with Action-Free Pre-Training from Videos. CoRR abs/2203.13880 (2022) - [i9]Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel:
Masked World Models for Visual Control. CoRR abs/2206.14244 (2022) - [i8]Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel:
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. CoRR abs/2209.07143 (2022) - 2021
- [c7]Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRL 2021: 1702-1712 - [c6]Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
State Entropy Maximization with Random Encoders for Efficient Exploration. ICML 2021: 9443-9454 - [c5]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: 3029-3042 - [c4]Junsu Kim, Younggyo Seo, Jinwoo Shin:
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. NeurIPS 2021: 28336-28349 - [i7]Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
State Entropy Maximization with Random Encoders for Efficient Exploration. CoRR abs/2102.09430 (2021) - [i6]Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRR abs/2107.00591 (2021) - [i5]Junsu Kim, Younggyo Seo, Jinwoo Shin:
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. CoRR abs/2110.13625 (2021) - [i4]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 abs/2110.14118 (2021) - 2020
- [c3]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. ICML 2020: 134-144 - [c2]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. ICML 2020: 5757-5766 - [c1]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 - [i3]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. CoRR abs/2005.06800 (2020) - [i2]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. CoRR abs/2006.09607 (2020) - [i1]Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR abs/2010.13303 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 01:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
