Guannan Qu

Much Ado About Noising: Dispelling the Myths of Generative Robotic Control

Internal Planning in Language Models: Characterizing Horizon and Branch Awareness

Polynomial Convergence of Riemannian Diffusion Models

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning

Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization

Natural Policy Gradient for Average Reward Non-Stationary RL

Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale