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Related Questions
- What are the key differences between contextual bandits and traditional multi-armed bandits in terms of their problem formulation and solution approaches?
- Can you provide a simple example to illustrate the concept of contextual bandits and how they are applied in real-world scenarios?
- How do contextual bandits handle the trade-off between exploration and exploitation in the presence of contextual information?
- What are some common algorithms used for solving contextual bandit problems, and what are their strengths and weaknesses?
- How do contextual bandits differ from other online learning methods, such as reinforcement learning and active learning?
- Can you discuss the challenges and limitations of contextual bandits, particularly in terms of handling high-dimensional contextual features?
- What are some applications of contextual bandits in real-world domains, such as recommendation systems, advertising, and healthcare?
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