Zijie Cheng

Online inference in QTD can now be performed efficiently without the need to store entire trajectories, revolutionizing memory management in distributional reinforcement learning.

Achieving optimal sample efficiency in quantile-based distributional reinforcement learning could revolutionize how we evaluate policies in complex environments.