Search Results for author:
Found 9 papers, 2 papers with code
Robust Reinforcement Learning for Risk-Sensitive Linear Quadratic Gaussian Control
This paper proposes a novel robust reinforcement learning framework for discrete-time linear systems with model mismatch that may arise from the sim-to-real gap.
Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty
Also, the interaction between the controlled integrator and the uncertain actuation dynamics may lead to significant robustness issues.
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach
This paper studies the adaptive optimal control problem for a class of linear time-delay systems described by delay differential equations (DDEs).
Predicting the effects of waning vaccine immunity against COVID-19 through high-resolution agent-based modeling
The potential waning of the vaccination immunity to COVID-19 could pose threats to public health, as it is tenable that the timing of such waning would synchronize with the near-complete restoration of normalcy.
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems
This paper studies the adaptive optimal stationary control of continuous-time linear stochastic systems with both additive and multiplicative noises, using reinforcement learning techniques.
High-resolution agent-based modeling of COVID-19 spreading in a small town
Amid the ongoing COVID-19 pandemic, public health authorities and the general population are striving to achieve a balance between safety and normalcy.
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
This paper studies the robustness of reinforcement learning algorithms to errors in the learning process.
Temporal-Differential Learning in Continuous Environments
In this paper, a new reinforcement learning (RL) method known as the method of temporal differential is introduced.
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation
This paper studies the robustness of policy iteration in the context of continuous-time infinite-horizon linear quadratic regulation (LQR) problem.
Systems and Control Numerical Analysis Systems and Control Numerical Analysis Optimization and Control
