RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI Paper • 2602.07837 • Published 12 days ago • 53
RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation Paper • 2509.15965 • Published Sep 19, 2025 • 18
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper • 2602.04634 • Published 15 days ago • 93
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models Paper • 2511.08577 • Published Nov 11, 2025 • 108
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
Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL Paper • 2508.07976 • Published Aug 11, 2025 • 52
From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models Paper • 2506.09930 • Published Jun 11, 2025 • 8
VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments Paper • 2506.02387 • Published Jun 3, 2025 • 58
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning Paper • 2505.24298 • Published May 30, 2025 • 28
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing Paper • 2505.21600 • Published May 27, 2025 • 71