no code implementations • 10 Apr 2024 • Athanasios Karapantelakis, Alexandros Nikou, Ajay Kattepur, Jean Martins, Leonid Mokrushin, Swarup Kumar Mohalik, Marin Orlic, Aneta Vulgarakis Feljan
Specifically, the aim of this study is to offer an introduction to the potential utilization of GenAI for critical thinking techniques in mobile networks, while also establishing a foundation for future research.
1 code implementation • 26 Apr 2021 • Moumita Das, Rajarshi Ray, Swarup Kumar Mohalik, Ansuman Banerjee
Moreover, in terms of performance, our falsification procedure identifies most of the unsafe instances faster, in comparison to the state-of-the-art verification tools for feed-forward neural networks such as NNENUM and Neurify and in many instances, by orders of magnitude.
1 code implementation • 18 Jan 2021 • Nikunj Gupta, G Srinivasaraghavan, Swarup Kumar Mohalik, Nishant Kumar, Matthew E. Taylor
This paper considers the case where there is a single, powerful, \emph{central agent} that can observe the entire observation space, and there are multiple, low-powered \emph{local agents} that can only receive local observations and are not able to communicate with each other.
Multi-agent Reinforcement Learning reinforcement-learning +2
no code implementations • 1 Sep 2020 • Kristijonas Cyras, Ramamurthy Badrinath, Swarup Kumar Mohalik, Anusha Mujumdar, Alexandros Nikou, Alessandro Previti, Vaishnavi Sundararajan, Aneta Vulgarakis Feljan
As a field of AI, Machine Reasoning (MR) uses largely symbolic means to formalize and emulate abstract reasoning.
no code implementations • 26 Feb 2018 • Anusha Mujumdar, Swarup Kumar Mohalik, Ramamurthy Badrinath
Antifragile systems grow measurably better in the presence of hazards.