Bandit Algorithms
Szepesvari Csaba (University of Alberta)
9781108486828
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| Author(s) :- Szepesvari Csaba (University of Alberta) | Format :- Hardback |
| Publisher :- Cambridge University Press | Pub. Date :- 2020-06-30 |
| ISBN-13 :- 9781108486828 | |
| Pagination :- 450 pages, Worked examples or Exercises |
Description
Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks.
