no code implementations • 27 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.
no code implementations • 27 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.
no code implementations • 1 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.
no code implementations • 6 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.
1 code implementation • 5 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
no code implementations • 1 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