PulseAugur / Brief
EN
LIVE 13:15:27

Brief

last 24h
[1/1] 222 sources

Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Online Packet Scheduling with Deadlines and Learning

    Researchers have developed new algorithms for online packet scheduling with deadlines and partial feedback, aiming to minimize alpha-regret. The algorithms achieve an upper bound of O(sqrt(KT)) alpha-regret, matching the standard bandit setting. For instances with a deadline of at most one clock cycle away, a deterministic algorithm provides the tightest possible competitive ratio. Notably, when the number of distinct packet types is finite, these algorithms can surpass the established Phi competitive ratio barrier. AI