no code implementations • 26 Apr 2024 • Adis Delanovic, Carmen Chiu, Andre Beckus
Airlift operations require the timely distribution of various cargo, much of which is time sensitive and valuable.
no code implementations • 29 Oct 2023 • Suraj Singireddy, Andre Beckus, George Atia, Sumit Jha, Alvaro Velasquez
Reinforcement learning (RL) is a powerful tool for finding optimal policies in sequential decision processes.
no code implementations • 10 Jan 2023 • Ismail Alkhouri, Sumit Jha, Andre Beckus, George Atia, Alvaro Velasquez, Rickard Ewetz, Arvind Ramanathan, Susmit Jha
To measure the robustness of the predicted structures, we utilize (i) the root-mean-square deviation (RMSD) and (ii) the Global Distance Test (GDT) similarity measure between the predicted structure of the original sequence and the structure of its adversarially perturbed version.
no code implementations • 9 Jul 2021 • Taylor Dohmen, Noah Topper, George Atia, Andre Beckus, Ashutosh Trivedi, Alvaro Velasquez
The success of reinforcement learning in typical settings is predicated on Markovian assumptions on the reward signal by which an agent learns optimal policies.
no code implementations • 5 Jun 2021 • Alvaro Velasquez, Ismail Alkhouri, Andre Beckus, Ashutosh Trivedi, George Atia
Given a Markov decision process (MDP) and a linear-time ($\omega$-regular or LTL) specification, the controller synthesis problem aims to compute the optimal policy that satisfies the specification.
no code implementations • 3 Dec 2020 • George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez
In this paper, we explore this steady-state planning problem that consists of deriving a decision-making policy for an agent such that constraints on its steady-state behavior are satisfied.
no code implementations • 24 Sep 2020 • Andre Beckus, George K. Atia
We present a new standardized benchmark based on the stochastic block model which models the addition and deletion of nodes, as well as the birth and death of communities.
no code implementations • 6 Jul 2018 • Andre Beckus, Alexandru Tamasan, George K. Atia
The wall scatters incident light such that a lens is no longer useful to form an image.
no code implementations • 25 May 2018 • Mostafa Rahmani, Andre Beckus, Adel Karimian, George Atia
Uniform random node sampling is shown to improve the computational complexity over clustering of the full graph when the cluster sizes are balanced.