2 papers
cs.LG2026
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
Qiang Zhang, Boli Chen, Fanrui Zhang +14
Reinforcement learning has substantially improved the performance of LLM agents on tasks with verifiable outcomes, but it still struggles on open-ended agent tasks with vast soluti…
cs.CV2025
Delving into Dynamic Scene Cue-Consistency for Robust 3D Multi-Object Tracking
Haonan Zhang, Xinyao Wang, Boxi Wu +3
3D multi-object tracking is a critical and challenging task in the field of autonomous driving. A common paradigm relies on modeling individual object motion, e.g., Kalman filters,…