Kaushik Dey

According to our database, Kaushik Dey authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generative AI in mobile networks: a survey.

Athanasios Karapantelakis, Pegah Alizadeh, Abdulrahman Alabassi, Kaushik Dey, Alexandros Nikou

Ann. des Télécommunications, February, 2024

Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks.

Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta

CoRR, 2024

Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks.

Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta

Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024

DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents.

Satheesh Kumar Perepu, Kaushik Dey, Abir Das

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs.

Kaushik Dey, Satheesh K. Perepu, Abir Das

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023

Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity.

Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

2022

Multi-agent reinforcement learning for intent-based service assurance in cellular networks.

Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey

CoRR, 2022

A Forward Scattering Model in Two-Dimensional Half-Space for Scatterers' Size Estimation Using Linear Inversion.

Soumyakanti Maiti, Amitabha Bhattacharya, Kaushik Dey

IEEE Access, 2022

Intent-based multi-agent reinforcement learning for service assurance in cellular networks.

Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey

Proceedings of the IEEE Global Communications Conference, 2022

2021

DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning.

Satheesh K. Perepu, Kaushik Dey

CoRR, 2021

Exploring Spiking Neural Networks in Single and Multi-agent RL Methods.

M. Saravanan, P. Satheesh Kumar, Kaushik Dey, Sreeja Gaddamidi, Adhesh Reghu Kumar

Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021

2020

Empirical analysis of generalization through augmentation for classifying images of vernacular handwritten texts.

Rajneesh Tiwari, Aritra Sen, Arindam Banerjee, Kaushik Dey

Proceedings of the 14th International Conference on Innovations in Information Technology, 2020

CDDM: A method to detect and handle Concept Drift in Dynamic Mobility Model for seamless 5G Services.

Satheesh K. Perepu, Kaushik Dey

Proceedings of the IEEE Globecom Workshops, 2020

2019

Bottleneck Crosstalk Minimization in Three-Layer Channel Routing.

Tarak Nath Mandal, Kaushik Dey, Ankita Dutta Banik, Ranjan Mehera, Rajat Kumar Pal

Proceedings of the Advanced Computing and Systems for Security, 2019