Organizations Tagged with bandit-model: Contextual Bandits, Multi-Armed Bandit Algorithms and Online Experimentation
Discover organizations tagged with bandit-model that implement contextual bandits, multi-armed bandit algorithms, and online experimentation to enable real-time personalization and adaptive decisioning. This filtered list (organizations → tags) surfaces companies, open-source projects, research labs, and consultancies deploying bandit-model strategies in production—covering Thompson sampling, epsilon-greedy, contextual bandits, off-policy evaluation, and reward modeling. Use the filtering UI to narrow results by industry, tech stack (Python, Vowpal Wabbit, TensorFlow, Flink), application (recommendation systems, A/B testing replacement, pricing optimization, ad allocation), or contribution type; view case studies, repos, and architecture patterns to accelerate integration. Explore these organizations to compare implementations, identify collaborators, and contact teams—click to filter the list, review profiles, and start adopting bandit-model best practices today.
