RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI Paper • 2602.07837 • Published 7 days ago • 52
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 11 days ago • 92
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper • 2602.04634 • Published 11 days ago • 92
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models Paper • 2511.08577 • Published Nov 11, 2025 • 108
π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models Paper • 2510.25889 • Published Oct 29, 2025 • 66
JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement Learning Paper • 2509.24892 • Published Sep 29, 2025
Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning Paper • 2505.04317 • Published May 7, 2025 • 1
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Paper • 2502.01932 • Published Feb 4, 2025
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Paper • 2309.12825 • Published Sep 22, 2023
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