Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning 事件

Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning arXiv:2602.02098v2 Announce Type: replace-cross Abstract: Multi-task reinforcement learning trains generalist policies that can execute multiple tasks. While recent years have seen significant progress, existing approaches rarely provide formal performance guarantees, which are indispensable when deploying policies in safety-critical settings. We present an approach for computing high-confidence guarantees on the perform