Robustness has been extensively studied in reinforcement learning (RL) to handle various
forms of uncertainty such as random perturbations, rare events, and malicious attacks. In this …

Imagine generating a city's electricity demand pattern based on weather, the presence of an
electric vehicle, and location, which could be used for capacity planning during a winter …

Cellular networks are becoming increasingly heterogeneous with higher base station (BS)
densities and ever more frequency bands, making BS selection and band assignment key …

Modern robots require accurate forecasts to make optimal decisions in the real world. For
example, self-driving cars need an accurate forecast of other agents' future actions to plan …

The autonomous driving field has seen notable progress in segmentation and planning
model performance, driven by extensive datasets and innovative architectures. Yet, these …