ix-bandit

What problem does it solve?

This Skill allows users to simulate multi-armed bandit algorithms, helping them understand and compare exploration-exploitation strategies in decision-making processes.

Core Features & Use Cases

• Algorithm Simulation: Supports epsilon-greedy, UCB1, and Thompson sampling algorithms.
• Bandit Algorithms: Ideal for A/B testing and understanding bandit algorithms.
• Use Case: If you're running an A/B test on a website and want to simulate different strategies for choosing the best variant, this Skill can help you explore and compare different bandit algorithms.

Quick Start

Run the ix-bandit skill with the desired algorithm and parameters to simulate a multi-armed bandit problem.