Explore why focusing solely on short-term metrics like lift can be misleading when assessing adaptive systems, and discover alternative approaches for meaningful evaluation.

A fresh perspective on customer engagement using multi-armed bandits and real-time decision-making, moving beyond static journey planning.

Discover how Aampe's semantic-associative agents adapt to varying user contexts, from fully known to unknown users, ensuring personalized experiences through continuous learning and contextual imputation.

Explore how Aampe's semantic-associative agents differ from traditional multi-armed bandit models. Learn about their multi-dimensional action space and non-ergodic learning approach that tailors user experiences without generalization.