AAAI 2025: The indoor training effect

Serena Bono, Spandan Madan and colleagues present their work titled “The indoor training effect: unexpected gains from distribution shifts in the transition function”.

This work reports surprising findings where algorithms trained under noisy conditions can generalize better than algorithms trained under noise-free conditions.