Yongshan Chen

Achieving perfect decision-making accuracy with just three memory states reveals a groundbreaking efficiency in managing partial observability in reinforcement learning.

Learning from ranked preferences alone can be surprisingly difficult: even with access to the full ranking of actions, standard online learning guarantees break down unless the environment is sufficiently stable.