1 citations · 1 across the 4 of their papers we have counts for
5 papers
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games
Zifan Wang, Yi Shen, Zachary I. Bell +3
We consider risk-averse learning in repeated unknown games where the goal of the agents is to minimize their individual risk of incurring significantly high cost. Specifically, the…
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning
S M Nahid Mahmud, Moad Abudia, Scott A Nivison +2
The objective of this research is to enable safety-critical systems to simultaneously learn and execute optimal control policies in a safe manner to achieve complex autonomy. Learn…
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems
S M Nahid Mahmud, Moad Abudia, Scott A Nivison +2
The ability to learn and execute optimal control policies safely is critical to realization of complex autonomy, especially where task restarts are not available and/or the systems…
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback
Yi Shen, Yan Zhang, Scott Nivison +2
We consider a zeroth-order distributed optimization problem, where the global objective function is a black-box function and, as such, its gradient information is inaccessible to t…
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers
Deepan Muthirayan, Scott Nivison, Pramod P. Khargonekar
We introduced a {\it working memory} augmented adaptive controller in our recent work. The controller uses attention to read from and write to the working memory. Attention allows…