8 citations · 8 across the 9 of their papers we have counts for
6 papers · 1 filter
Sample Complexity of Equivariant Reinforcement Learning
Rayan Mazouz, Haibo Zhao, Chris Hillar +1
Reinforcement learning (RL) is a powerful framework for robotic control, yet its practical application is often hindered by high sample complexity. This is particularly restrictive…
Continuous-Time Gaussian Belief Trees for Motion Planning
Rayan Mazouz, Qi Heng Ho, Zachary N. Sunberg +1
We address sampling-based motion planning for continuous-time stochastic systems under process and measurement uncertainty, with probabilistic guarantees on safety and performance.…
Modeling and Control for Distributed Measurements of the Earth's Energy Imbalance
Rayan Mazouz, Marco Quadrelli, Rashied Amini +3
This paper presents a modeling and control framework for distributed systems in low Earth orbit, with the scientific objective of obtaining high accuracy estimates of the Earth's E…
Stochastic Barrier Certificates in the Presence of Dynamic Obstacles
Rayan Mazouz, Luca Laurenti, Morteza Lahijanian
In this work, we focus on safety verification of stochastic systems in dynamic environments. We introduce both time-invariant and time-varying barrier certificates for discrete-tim…
Suppressed excitonic effects enable high mobility, high-yield photoconductivity in a two-dimensional polymer crystal with axial pyridine coordination
Shuai Fu, Ye Yang, Guoquan Gao +8
Two-dimensional polymers (2DPs) and their layer-stacked covalent organic frameworks (2D COFs) offer modular, atomically precise platforms for organic optoelectronics, yet their pho…
StochasticBarrier.jl: A Toolbox for Stochastic Barrier Function Synthesis
Rayan Mazouz, Frederik Baymler Mathiesen, Luca Laurenti +1
We present StochasticBarrier.jl, an open-source Julia-based toolbox for generating Stochastic Barrier Functions (SBFs) for safety verification of discrete-time stochastic systems w…