#non-stationarity News & Analysis

2 articles tagged with #non-stationarity. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 106/10

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Does Normalization Choice Matter for Causal Large Time-Series Models?

Researchers examine how normalization strategies affect large transformer-based time-series forecasting models, revealing that the choice of normalization significantly impacts both training convergence and prediction accuracy. The study addresses a critical technical challenge: preventing information leakage from future observations during causal training while maintaining model performance on non-stationary real-world data.

AINeutralarXiv – CS AI · Jun 46/10

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Position: Deployed Reinforcement Learning should be Continual

A position paper argues that deployed reinforcement learning systems should adopt continual learning rather than the traditional train-then-fix approach. The authors identify four sources of non-stationarity in deployed environments that require agents to continuously adapt and learn, challenging the current industry paradigm where agents remain static until performance degradation necessitates retraining.