SeungJun

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upvoted a paper 17 days ago

Self-Distilling Future Video Representations for World Action Models

Paper • 2610.30320 • Published 19 days ago • 37

upvoted a paper 25 days ago

ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models

Paper • 2610.18596 • Published 27 days ago • 17

upvoted a paper 28 days ago

Q-Learning with Scalar Adjoint Matching

Paper • 2610.10437 • Published Oct 7 • 25

authored 2 papers about 1 month ago

Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations

Paper • 2606.10614 • Published Jun 9 • 25

RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning

Paper • 2610.09455 • Published Oct 7 • 22

submitted a paper to Daily Papers about 1 month ago

RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning

Paper • 2610.09455 • Published Oct 7 • 22

upvoted 2 papers about 1 month ago

RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning

Paper • 2610.09455 • Published Oct 7 • 22

PointWAM: 3D World Action Modeling for Dexterous Robotic Manipulation

Paper • 2610.02840 • Published Oct 2 • 53

liked a model 4 months ago

upstage/Solar-Open2-250B

Text Generation • 250B • Updated Jul 31 • 7.97k • 760

upvoted a paper 4 months ago

RLDX-1 Technical Report

Paper • 2605.03269 • Published May 5 • 129

liked a model 6 months ago

RLWRLD/RLDX-1-PT

Robotics • 7B • Updated 27 days ago • 342 • 16

authored a paper 6 months ago

RLDX-1 Technical Report

Paper • 2605.03269 • Published May 5 • 129