Search Results for author: Melih Bastopcu

Found 5 papers, 0 papers with code

Policy Optimization finds Nash Equilibrium in Regularized General-Sum LQ Games

no code implementations25 Mar 2024 Muhammad Aneeq uz Zaman, Shubham Aggarwal, Melih Bastopcu, Tamer Başar

In this paper, we investigate the impact of introducing relative entropy regularization on the Nash Equilibria (NE) of General-Sum $N$-agent games, revealing the fact that the NE of such games conform to linear Gaussian policies.

Reinforcement Learning (RL)

Learning How to Strategically Disclose Information

no code implementations13 Mar 2024 Raj Kiriti Velicheti, Melih Bastopcu, S. Rasoul Etesami, Tamer Başar

In this work, we consider an online version of information design where a sender interacts with a receiver of an unknown type who is adversarially chosen at each round.

Large Population Games on Constrained Unreliable Networks

no code implementations16 Mar 2023 Shubham Aggarwal, Muhammad Aneeq uz Zaman, Melih Bastopcu, Tamer Başar

A Base station (BS) actively schedules agent communications over the network by minimizing a weighted Age of Information (WAoI) based cost function under a capacity limit $\mathcal{C} < N$ on the number of transmission attempts at each instant.

Scheduling

Weighted Age of Information based Scheduling for Large Population Games on Networks

no code implementations26 Sep 2022 Shubham Aggarwal, Muhammad Aneeq uz Zaman, Melih Bastopcu, Tamer Başar

Due to a hard bandwidth constraint on the number of transmissions through the network, at most $R_d < N$ agents can concurrently access their state information through the network.

Scheduling

Timely Tracking of Infection Status of Individuals in a Population

no code implementations24 Dec 2020 Melih Bastopcu, Sennur Ulukus

We observe that if the total test rate is limited, instead of testing all members of the population equally, only a portion of the population is tested based on their infection and recovery rates.

Computers and Society Physics and Society

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