bandit algorithm
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Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
Lijun Zhang is the corresponding author.
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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms Jiechao Guan 1 Hui Xiong 1,2, 1 AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), China
Hierarchical Bayesian bandit refers to the multi-task bandit problem in which bandit tasks are assumed to be drawn from the same distribution.
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Transportability for Bandits with Data from Different Environments
A unifying theme in the design of intelligent agents is to efficiently optimize a policy based on what prior knowledge of the problem is available and what actions can be taken to learn more about it.
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OfflineContextualBanditswith HighProbabilityFairnessGuarantees
To demonstrate the versatility of our approach, we use multiple well-known and custom definitions of fairness.
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Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma, Jerry Zhu
Neural Information Processing Systems http://nips.cc/
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