A Perturbation Approach to Unconstrained Linear Bandits
A Perturbation Approach to Unconstrained Linear Bandits explores A theoretical framework for improving bandit linear optimization algorithms through perturbation methods, offering new regret guarantees.. Commercial viability score: 2/10 in Online Linear Optimization.
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