• Corpus ID: 239768474

Safely Bridging Offline and Online Reinforcement Learning

  title={Safely Bridging Offline and Online Reinforcement Learning},
  author={Wanqiao Xu and Kan Xu and Hamsa Bastani and Osbert Bastani},
A key challenge to deploying reinforcement learning in practice is exploring safely. We propose a natural safety property—uniformly outperforming a conservative policy (adaptively estimated from all data observed thus far), up to a per-episode exploration budget. We then design an algorithm that uses a UCB reinforcement learning policy for exploration, but overrides it as needed to ensure safety with high probability. We experimentally validate our results on a sepsis treatment task… 

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