Time-uniform self-normalized concentration for discounted least squares: limits and corrections
Read the original at arxiv.org→arXiv:2608.19643v1 Announce Type: new Abstract: Self-normalized concentration inequalities are standard tools in bandit and reinforcement-learning analyses. A widely used weighted extension claims an analogous...
Original headline: "Time-Uniform Self-Normalized Concentration for Discounted Least Squares: Limits and Corrections"
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- Aug 21, 04:00 UTC arXiv cs.LG lead source Time-Uniform Self-Normalized Concentration for Discounted Least Squares: Limits and Corrections