RL-IF: Tracking non-local training data influence for online reinforcement learning
Read the original at arxiv.org→arXiv:2610.28883v1 Announce Type: new 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...
Original headline: "RL-IF: Tracking Non-local Training Data Influence for Online Reinforcement Learning"
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- Oct 22, 04:00 UTC arXiv cs.LG lead source RL-IF: Tracking Non-local Training Data Influence for Online Reinforcement Learning