1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Safe Model-Based Reinforcement Learning for Systems with Parametric Uncertainties
S M Nahid Mahmud, Scott A Nivison, Zachary I. Bell +1
Reinforcement learning has been established over the past decade as an effective tool to find optimal control policies for dynamical systems, with recent focus on approaches that g…
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…