1 citations · 1 across the 8 of their papers we have counts for
9 papers
Learning in Inverse Games: Tractable Training with Probabilistic Guarantees
Arghya Mallick, Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani +1
Inverse game theory seeks to learn agents' unknown objectives from observed equilibrium behavior. Existing residual-based approaches can lead to non-convex problems and need not en…
Dynamic Congestion Pricing in Distribution Networks via a Convex-Analytic Bilevel Reformulation
Reza Rahimi Baghbadorani, Ali Nikseresht, Jehum Cho +1
Dynamic congestion pricing is an important tool for managing congestion and coordinating distributed energy resources in active distribution networks. However, scalable mechanisms…
Fast Newton methods for linear-quadratic dynamic games with application to autonomous vehicle platooning and intersection crossing
Reza Rahimi Baghbadorani, Sergio Grammatico
We consider constrained linear-quadratic dynamic games arising in autonomous vehicle platooning, intersection crossing and other cooperative driving scenarios. Infinite-horizon Nas…
Learning-Based Stackelberg Equilibrium Seeking with Application to Demand-Side Energy Management
Silvia Cianchi, Reza Rahimi Baghbadorani, Anibal Sanjab +1
Demand-side management (DSM) enables distribution system operators (DSOs) to steer electricity consumption through dynamic price signals or incentive mechanisms, thereby leveraging…
A Hybrid Algorithm for Monotone Variational Inequalities
Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
Inspired by the adaptive Golden Ratio Algorithm (aGRAAL), we propose two new methods for solving monotone variational inequalities. We show that by selecting the momentum parameter…
Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum
Reza Rahimi Baghbadorani, Sergio Grammatico, Peyman Mohajerin Esfahani
We propose an adaptive accelerated smoothing technique for a nonsmooth convex optimization problem where the smoothing update rule is coupled with the momentum parameter. We also e…
A Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities
Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
We propose an accelerated algorithm with a Frank-Wolfe method as an oracle for solving strongly monotone variational inequality problems. While standard solution approaches, such a…
A Douglas-Rachford Splitting Method for Solving Monotone Variational Inequalities in Linear-quadratic Dynamic Games
Reza Rahimi Baghbadorani, Emilio Benenati, Sergio Grammatico
This paper considers constrained linear dynamic games with quadratic objective functions, which can be cast as affine variational inequalities. By leveraging the problem structure,…
A New Lineserach for Accelerated Composite Minimization
Reza Rahimi Baghbadorani, Sergio Grammatico, Peyman Mohajerin Esfahani
The choice of the stepsize in first-order convex optimization is typically based on the smoothness constant and plays a crucial role in the performance of algorithms. Recently, the…