Ruize Zhang

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upvoted a paper 9 days ago

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

Paper • 2602.07837 • Published 12 days ago • 53

upvoted a paper 11 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 15 days ago

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

Paper • 2602.04634 • Published 16 days ago • 93

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 4 papers 4 months ago

π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models

Paper • 2510.25889 • Published Oct 29, 2025 • 66

Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning

Paper • 2505.04317 • Published May 7, 2025 • 1

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 2 papers 8 months ago

Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation

Paper • 2506.09991 • Published Jun 11, 2025 • 55

A Survey on Self-play Methods in Reinforcement Learning

Paper • 2408.01072 • Published Aug 2, 2024 • 2

upvoted a paper 9 months ago

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

Paper • 2506.02387 • Published Jun 3, 2025 • 58