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arXiv Machine Learning By Timothy Tomashevskiy

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning

Read the original on arXiv Machine Learning →

arXiv:2607. 21646v1 Announce Type: new Abstract: Ensuring safety in reinforcement learning under nonstationarity requires determining whether a learning system can safely adapt to forecasted environmental change within the required recovery horizon.

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