Younggyo Seo

According to our database¹, Younggyo Seo authored at least 19 papers between 2020 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2023

The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Language Reward Modulation for Pretraining Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Guide Your Agent with Adaptive Multimodal Rewards.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-View Masked World Models for Visual Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Imitating Graph-Based Planning with Goal-Conditioned Policies.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Reinforcement Learning with Action-Free Pre-Training from Videos.

[BibT_eX]

[DOI]

CoRR, 2022

Reinforcement Learning with Action-Free Pre-Training from Videos.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Masked World Models for Visual Control.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Junsu Kim

Younggyo Seo

Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

State Entropy Maximization with Random Encoders for Efficient Exploration.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

Younggyo Seo

Kimin Lee

Ignasi Clavera Gilaberte

Thanard Kurutach

Jinwoo Shin

Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning What to Defer for Maximum Independent Sets.

[BibT_eX]

[DOI]

Sungsoo Ahn

Younggyo Seo

Jinwoo Shin

Proceedings of the 37th International Conference on Machine Learning, 2020

Younggyo Seo

Timeline

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Links

On csauthors.net:

Bibliography

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