Multi-Armed Bandits Theory and Applications to Online Learning in Networks /
Multi-armed bandit problems pertain to optimal sequential decision making and learning in unknown environments. Since the first bandit problem posed by Thompson in 1933 for the application of clinical trials, bandit problems have enjoyed lasting attention from multiple research communities and have...
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| Format: | Electronic Book |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2020
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| Edition: | 1st ed. 2020 |
| Series: | Synthesis Lectures on Learning, Networks, and Algorithms,
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| Subjects: |