172 citations · 924 across the 40 of their papers we have counts for
6 papers · 1 filter
Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik, Zhenyi Tang, Shuijing Liu +2
This paper proposes adversarial attacks for Reinforcement Learning (RL) and then improves the robustness of Deep Reinforcement Learning algorithms (DRL) to parameter uncertainties…
Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties
John F. Quindlen, Ufuk Topcu, Girish Chowdhary +1
This paper proposes a statistical verification framework using Gaussian processes (GPs) for simulation-based verification of stochastic nonlinear systems with parametric uncertaint…
Intent Communication between Autonomous Vehicles and Pedestrians
Milecia Matthews, Girish Chowdhary, Emily Kieson
When pedestrians encounter vehicles, they typically stop and wait for a signal from the driver to either cross or wait. What happens when the car is autonomous and there isn't a hu…
Active Sampling-based Binary Verification of Dynamical Systems
John F. Quindlen, Ufuk Topcu, Girish Chowdhary +1
Nonlinear, adaptive, or otherwise complex control techniques are increasingly relied upon to ensure the safety of systems operating in uncertain environments. However, the nonlinea…
Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems
John F. Quindlen, Ufuk Topcu, Girish Chowdhary +1
Increasingly demanding performance requirements for dynamical systems motivates the adoption of nonlinear and adaptive control techniques. One challenge is the nonlinearity of the…
Hierarchic Kernel Recursive Least-Squares
Hossein Mohamadipanah, Mahdi Heydari, Girish Chowdhary
We present a new kernel-based algorithm for modeling evenly distributed multidimensional datasets that does not rely on input space sparsification. The presented method reorganizes…