RL-IF: Tracking Non-local Training Data Influence for Online Reinforcement Learning.

arXiv:2610.28883v1 Announce Type: cross Abstract: Online reinforcement learning (RL) has achieved significant success in decision-making tasks, but modern online RL remains highly sensitive to the quality of training experience. Understanding the contribution