RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI Paper • 2602.07837 • Published Feb 8 • 57
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper • 2602.04634 • Published Feb 4 • 100
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models Paper • 2511.08577 • Published Nov 11, 2025 • 110
RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training Paper • 2510.06710 • Published Oct 8, 2025 • 43
Cache-to-Cache: Direct Semantic Communication Between Large Language Models Paper • 2510.03215 • Published Oct 3, 2025 • 99
