Online reinforcement learning

Online sequential-decision making via bandit algorithms, modeling considerations for better decisions (Invited Talk @ BMS-ANed)

The multi-armed bandit (MAB) framework holds great promise for optimizing sequential decisions online as new data arise. For example, it could be used to design adaptive experiments that can result in better participant outcomes and improved …

Online sequential-decision making via bandit algorithms, modeling considerations for better decisions (Seminar @ Department of Statistics, Padua University)

The multi-armed bandit (MAB) framework holds great promise for optimizing sequential decisions online as new data arise. For example, it could be used to design adaptive experiments that can result in better participant outcomes and improved …

Online sequential-decision making via bandit algorithms, modeling considerations for better decisions (Keynote Talk @ ALBECS-2024, 19th International Conference on Persuasive Technology 2024)

The multi-armed bandit (MAB) framework holds great promise for optimizing sequential decisions online as new data arise. For example, it could be used to design adaptive experiments that can result in better participant outcomes and improved …