DEPLOY-RL framework proposed for certifying RL policies in safety-critical processes

A new arXiv paper, DEPLOY-RL, presents an approach combining active boundary discovery with conservative certification to help reinforcement learning policies reach deployment in safety-critical continuous processes.

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Timeline · 1 report

1. 2026-11-03 05:00 · arXiv cs.LG
   DEPLOY-RL: Active Boundary Discovery and Conservative Certification for Deployable Reinforcement Learning in Safety-Critical Continuous Processes