Shu'ang Yu

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authored 3 papers 1 day ago

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling

Paper • 2509.25756 • Published Sep 30, 2025

JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement Learning

Paper • 2509.24892 • Published Sep 29, 2025

RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI

Paper • 2602.07837 • Published 5 days ago • 51

upvoted a paper 2 days ago

RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI

Paper • 2602.07837 • Published 5 days ago • 51

upvoted a paper 4 days ago

RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation

Paper • 2509.15965 • Published Sep 19, 2025 • 18

upvoted a paper 8 days ago

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

Paper • 2602.04634 • Published 9 days ago • 92

upvoted a paper 3 months ago

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models

Paper • 2511.08577 • Published Nov 11, 2025 • 108

upvoted 2 papers 4 months ago

Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Paper • 2510.03215 • Published Oct 3, 2025 • 98

RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training

Paper • 2510.06710 • Published Oct 8, 2025 • 42

upvoted a paper 8 months ago

VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments

Paper • 2506.02387 • Published Jun 3, 2025 • 58