[KongchangAI]
Unverified50% confidenceFactExact time

The main result of the paper is that Q-Learning with zero initialization and constant step size can, with high probability, reduce the sup-norm error to within ε using Õ(H^4/(μ_min·ε^2)+h_star) state transitions (for 0<ε≤1).

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10/12/2026
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