3 papers
cs.RO2026
Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
Grayson Lee, Minh Bui, Shuzi Zhou +3
Diffusion-based models have recently shown strong performance in trajectory planning, as they are capable of capturing diverse, multimodal distributions of complex behaviors. A key…
cs.RO2025
HJRNO: Hamilton-Jacobi Reachability with Neural Operators
Yankai Li, Mo Chen
Ensuring the safety of autonomous systems under uncertainty is a critical challenge. Hamilton-Jacobi reachability (HJR) analysis is a widely used method for guaranteeing safety und…
cs.LG2025
Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning
Yankai Li, Mo Chen
Model Predictive Path Integral (MPPI) control, Reinforcement Learning (RL), and Diffusion Models have each demonstrated strong performance in trajectory optimization, decision-maki…