Younggyo Seo | DeepAI

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Featured Co-authors

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263 publications
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150 publications
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134 publications
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129 publications
Jinwoo Shin
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Kimin Lee
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Stephen James
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Danijar Hafner
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Li Zhao
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∙ 09/19/2023

Guide Your Agent with Adaptive Multimodal Rewards

Developing an agent capable of adapting to unseen environments remains a...

0 Changyeon Kim, et al. ∙

∙ 08/23/2023

Language Reward Modulation for Pretraining Reinforcement Learning

Using learned reward functions (LRFs) as a means to solve sparse-reward ...

0 Ademi Adeniji, et al. ∙

∙ 05/31/2023

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration

A promising technique for exploration is to maximize the entropy of visi...

0 Dongyoung Kim, et al. ∙

∙ 03/20/2023

Imitating Graph-Based Planning with Goal-Conditioned Policies

Recently, graph-based planning algorithms have gained much attention to ...

0 Junsu Kim, et al. ∙

∙ 02/05/2023

Multi-View Masked World Models for Visual Robotic Manipulation

Visual robotic manipulation research and applications often use multiple...

0 Younggyo Seo, et al. ∙

∙ 09/15/2022

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

Video prediction is an important yet challenging problem; burdened with ...

0 Younggyo Seo, et al. ∙

∙ 06/28/2022

Masked World Models for Visual Control

Visual model-based reinforcement learning (RL) has the potential to enab...

0 Younggyo Seo, et al. ∙

∙ 03/25/2022

Reinforcement Learning with Action-Free Pre-Training from Videos

Recent unsupervised pre-training methods have shown to be effective on l...

0 Younggyo Seo, et al. ∙

∙ 03/18/2022

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

Preference-based reinforcement learning (RL) has shown potential for tea...

8 Jongjin Park, et al. ∙

∙ 10/27/2021

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

Behavioral cloning has proven to be effective for learning sequential de...

0 Jongjin Park, et al. ∙

∙ 10/26/2021

Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning

Goal-conditioned hierarchical reinforcement learning (HRL) has shown pro...

0 Junsu Kim, et al. ∙

∙ 07/01/2021

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

Recent advance in deep offline reinforcement learning (RL) has made it p...

9 Seunghyun Lee, et al. ∙

∙ 02/18/2021

State Entropy Maximization with Random Encoders for Efficient Exploration

Recent exploration methods have proven to be a recipe for improving samp...

13 Younggyo Seo, et al. ∙

∙ 10/26/2020

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

Model-based reinforcement learning (RL) has shown great potential in var...

0 Younggyo Seo, et al. ∙

∙ 06/17/2020

Learning What to Defer for Maximum Independent Sets

Designing efficient algorithms for combinatorial optimization appears ub...

0 Sungsoo Ahn, et al. ∙

∙ 05/14/2020

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

Model-based reinforcement learning (RL) enjoys several benefits, such as...

7 Kimin Lee, et al. ∙

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