Ashutosh Mishra

Relative positional encodings not only enable extrapolation in transformers but also reveal a profound connection between implicit bias and sequence length generalization.

Learning-rate cooldown can either enhance or hinder training effectiveness, depending on the noise structure and optimizer normalization used.

Reliable cooperative cargo transport in lunar missions is now achievable through a novel phase-decomposed reinforcement learning framework that ensures safety and efficiency.