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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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1 result for “UC-SSP”
No-Regret Exploration in Goal-Oriented Reinforcement Learningstat.ML

UC-SSP algorithm tackles exploration in stochastic shortest path problems without loop-free assumption.

problem Exploration in goal-oriented reinforcement learning problems under stochastic shortest path formulation.
method UC-SSP algorithm with a novel stopping rule to interrupt and switch policies.
result Regret bound of O~(DSADK)\displaystyle \widetilde{\mathcal{O}}( D S \sqrt{ A D K}) after KK episodes.
reinforcement learningstochastic shortest pathexploration-exploitationUC-SSPno-regret
2019-12-07abs ↗pdf ↗