George J. Pappas

This study examines how delays affect stochastic approximation in reinforcement learning.

This article reviews the importance of risk assessment in robotics for safety.

A method to efficiently model and control nonlinear systems using active learning techniques.

CViT merges operator learning with conditioned neural fields for improved scientific modeling.

This paper discusses a method for robots to learn safety from human input.

Examining how agents learn faster together despite communication delays.

Examining how model parameters impact performance on long-range tasks.

PKF improves object tracking accuracy in complex environments.

A look at how CRM improves prediction models and manages uncertainty.