145 citations · 441 across the 37 of their papers we have counts for
5 papers · 1 filter
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
Anubhav Guha, Anuradha Annaswamy
Reinforcement learning (RL) algorithms have been successfully used to develop control policies for dynamical systems. For many such systems, these policies are trained in a simulat…
A Stable High-order Tuner for General Convex Functions
José M. Moreu, Anuradha M. Annaswamy
Iterative gradient-based algorithms have been increasingly applied for the training of a broad variety of machine learning models including large neural-nets. In particular, moment…
Transactive Control of Electric Railways Using Dynamic Market Mechanisms
David D'Achiardi, Anuradha M. Annaswamy, Sudip K. Mazumder +1
Electricity demand of electric railways is a relatively unexplored source of flexibility in demand response applications in power systems. In this paper, we propose a transactive c…
Accurate Parameter Estimation for Risk-aware Autonomous Systems
Arnab Sarker, Peter Fisher, Joseph E. Gaudio +1
Analysis and synthesis of safety-critical autonomous systems are carried out using models which are often dynamic. Two central features of these dynamic systems are parameters and…
Accelerated Learning with Robustness to Adversarial Regressors
Joseph E. Gaudio, Anuradha M. Annaswamy, José M. Moreu +2
High order momentum-based parameter update algorithms have seen widespread applications in training machine learning models. Recently, connections with variational approaches have…