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Forgetting mechanisms can significantly boost the adaptability of RL agents in changing environments, even without explicit drift information.
Conformal prediction offers a surprisingly effective way to pinpoint exactly which samples are most affected by concept drift, even when traditional methods struggle in complex data.
