_learning-in-dynamic-systems-with-unknown-models.jpg "Learning in Dynamic Systems with Unknown Models from reward policy objective Video Screenshot Preview")
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⏲ Duration: 37 min 75 sec
✓ Published: 12-Oct-2011
✓ Published: 12-Oct-2011
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Qing ZhaonUniversity of California, DavisnnHostnRichard LannAbstractnSince the first multi-armed bandit (MAB) problem posed by Thompson in 1933 for the application of clinical trials, MAB has developed into an important branch in stochastic optimization and machine learning and has found a wide range of applications in economics and finance, medicine, and industrial engineering. It has recently received increasing attention from the communications and networking research community for formulatin
Qing ZhaonUniversity of California, DavisnnHostnRichard LannAbstractnSince the first multi-armed bandit (MAB) problem posed by Thompson in 1933 for the application of clinical trials, MAB has developed into an important branch in stochastic optimization and machine learning and has found a wide range of applications in economics and finance, medicine, and industrial engineering. It has recently received increasing attention from the communications and networking research community for formulatin
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