RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI Paper • 2602.07837 • Published Feb 8 • 56
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper • 2602.04634 • Published Feb 4 • 99
π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models Paper • 2510.25889 • Published Oct 29, 2025 • 66
Cache-to-Cache: Direct Semantic Communication Between Large Language Models Paper • 2510.03215 • Published Oct 3, 2025 • 99
RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training Paper • 2510.06710 • Published Oct 8, 2025 • 43
VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments Paper • 2506.02387 • Published Jun 3, 2025 • 58
