Peter L. Bartlett

HOPE reveals a transformative approach to deconstructing neural representations, enabling unbiased architectural decisions and efficient model compression without the need for data or hyperparameters.

Platypoos adapts seamlessly to unknown reward scales, achieving optimal sample complexity in planning under uncertainty.