Search Results for author: Nuno C. Martins

Found 6 papers, 1 papers with code

Incentive Designs for Learning Agents to Stabilize Coupled Exogenous Systems

no code implementations27 Mar 2024 Jair Certório, Nuno C. Martins, Richard J. La, Murat Arcak

We consider a large population of learning agents noncooperatively selecting strategies from a common set, influencing the dynamics of an exogenous system (ES) we seek to stabilize at a desired equilibrium.

Epidemic Population Games And Perturbed Best Response Dynamics

no code implementations27 Jan 2024 Shinkyu Park, Jair Certorio, Nuno C. Martins, Richard J. La

This paper proposes an approach to mitigate epidemic spread in a population of strategic agents by encouraging safer behaviors through carefully designed rewards.

Population Games With Erlang Clocks: Convergence to Nash Equilibria For Pairwise Comparison Dynamics

no code implementations1 Apr 2022 Semih Kara, Nuno C. Martins, Murat Arcak

This article proposes a methodology for such cases under the premise that a sub-strategy's duration is exponentially-distributed, leading to Erlang distributed inter-revision intervals.

valid

Pairwise Comparison Evolutionary Dynamics with Strategy-Dependent Revision Rates: Stability and Delta-Passivity (Expanded Version)

no code implementations6 Jul 2021 Semih Kara, Nuno C. Martins

To allow for strategy-dependent revision rates and payoff mechanisms that are dynamic (or memoryless games that are not potential), we focus on an evolutionary dynamics class obtained from a straightforward modification of one that stems from the so-called impartial pairwise comparison strategy revision protocol.

An Optimality Gap Test for a Semidefinite Relaxation of a Quadratic Program with Two Quadratic Constraints

1 code implementation5 Jul 2019 Sheng Cheng, Nuno C. Martins

We propose a necessary and sufficient test to determine whether a solution for a general quadratic program with two quadratic constraints (QC2QP) can be computed from that of a specific convex semidefinite relaxation, in which case we say that there is no optimality gap.

Optimization and Control

Stabilizing a Queue Subject to Action-Dependent Server Performance

no code implementations1 Mar 2019 Michael Lin, Richard J. La, Nuno C. Martins

We consider a discrete-time system comprising a first-come-first-served queue, a non-preemptive server, and a scheduler that governs the assignment of tasks in the queue to the server.

Applications

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