SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments von Deffayet, Romain, Thonet, Thibaut, Hwang, Dongyoon, Lehoux, Vassilissa, Renders, Jean-Michel, de Rijke, Maarten

Volltext

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control von Hwang, Dongyoon, Lee, Byungkun, Lee, Hojoon, Kim, Hyunseung, Choo, Jaegul

Volltext bestellen

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning von Kim, Donghu, Lee, Hojoon, Lee, Kyungmin, Hwang, Dongyoon, Choo, Jaegul

Volltext bestellen

Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems von Lee, Hojoon, Hwang, Dongyoon, Kyushik Min, Choo, Jaegul

Volltext

Do's and Don'ts: Learning Desirable Skills with Instruction Videos von Kim, Hyunseung, Lee, Byungkun, Lee, Hojoon, Hwang, Dongyoon, Kim, Donghu, Choo, Jaegul

Volltext bestellen

DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games von Lee, Hojoon, Hwang, Dongyoon, Kim, Hyunseung, Lee, Byungkun, Choo, Jaegul

Volltext

SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments von Deffayet, Romain, Thonet, Thibaut, Hwang, Dongyoon, Lehoux, Vassilissa, Renders, Jean-Michel, de Rijke, Maarten

Volltext bestellen

Learning to Discover Skills through Guidance von Kim, Hyunseung, Lee, Byungkun, Lee, Hojoon, Hwang, Dongyoon, Park, Sejik, Min, Kyushik, Choo, Jaegul

Volltext bestellen

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning von Lee, Hojoon, Lee, Koanho, Hwang, Dongyoon, Lee, Hyunho, Lee, Byungkun, Choo, Jaegul

Volltext bestellen

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning von Lee, Hojoon, Hwang, Dongyoon, Kim, Donghu, Kim, Hyunseung, Tai, Jun Jet, Subramanian, Kaushik, Wurman, Peter R, Choo, Jaegul, Stone, Peter, Seno, Takuma

Volltext bestellen

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control von Hwang, Dongyoon, Lee, Byungkun, Lee, Hojoon, Kim, Hyunseung, Choo, Jaegul

Volltext

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning von Kim, Donghu, Lee, Hojoon, Lee, Kyungmin, Hwang, Dongyoon, Choo, Jaegul

Volltext

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation von Lee, Hojoon, Hwang, Dongyoon, Hong, Sunghwan, Kim, Changyeon, Kim, Seungryong, Choo, Jaegul

Volltext bestellen

Do's and Don'ts: Learning Desirable Skills with Instruction Videos von Kim, Hyunseung, Lee, Byungkun, Lee, Hojoon, Hwang, Dongyoon, Kim, Donghu, Choo, Jaegul

Volltext

SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments von Deffayet, Romain, Thonet, Thibaut, Hwang, Dongyoon, Lehoux, Vassilissa, Renders, Jean-Michel, de Rijke, Maarten

Volltext

Learning to Discover Skills through Guidance von Kim, Hyunseung, Lee, Byungkun, Lee, Hojoon, Hwang, Dongyoon, Park, Sejik, Kyushik Min, Choo, Jaegul

Volltext

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning von Lee, Hojoon, Lee, Koanho, Hwang, Dongyoon, Lee, Hyunho, Lee, Byungkun, Choo, Jaegul

Volltext

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning von Lee, Hojoon, Hwang, Dongyoon, Kim, Donghu, Kim, Hyunseung, Jun Jet Tai, Subramanian, Kaushik, Wurman, Peter R, Choo, Jaegul, Stone, Peter, Seno, Takuma

Volltext

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation von Lee, Hojoon, Hwang, Dongyoon, Hong, Sunghwan, Kim, Changyeon, Kim, Seungryong, Choo, Jaegul

Volltext

Spinodal Decomposition-Driven Structural Hierarchy of Mesoporous Inorganic Materials for Energy Applications von Ban, Minkyeong, Woo, Dongyoon, Hwang, Jongkook, Kim, Seongseop, Lee, Jinwoo

Volltext