Kaushik Dey

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Learning Agents

Top Venues

Ann. des Télécommunications

GLOBECOM (Workshops)

Publications

Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks. CoRR (2024)
Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks. NetSoft (2024)
Satheesh Kumar Perepu, Kaushik Dey, Abir Das
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents. COMAD/CODS (2024)
Athanasios Karapantelakis, Pegah Alizadeh, Abdulrahman Alabassi, Kaushik Dey, Alexandros Nikou
Generative AI in mobile networks: a survey. Ann. des Télécommunications 79 (1) (2024)
Kaushik Dey, Satheesh K. Perepu, Abir Das
Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs. CCNC (2024)
Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. NetSoft (2023)
Kaushik Dey, Satheesh K. Perepu, Abir Das
Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs. CoRR (2023)
Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. CoRR (2023)
Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey
Intent-based multi-agent reinforcement learning for service assurance in cellular networks. GLOBECOM (2022)
Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey
Multi-agent reinforcement learning for intent-based service assurance in cellular networks. CoRR (2022)
Soumyakanti Maiti, Amitabha Bhattacharya, Kaushik Dey
A Forward Scattering Model in Two-Dimensional Half-Space for Scatterers' Size Estimation Using Linear Inversion. IEEE Access 10 (2022)
Satheesh K. Perepu, Kaushik Dey
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning. CoRR (2021)
M. Saravanan, P. Satheesh Kumar, Kaushik Dey, Sreeja Gaddamidi, Adhesh Reghu Kumar
Exploring Spiking Neural Networks in Single and Multi-agent RL Methods. ICRC (2021)
Rajneesh Tiwari, Aritra Sen, Arindam Banerjee, Kaushik Dey
Empirical analysis of generalization through augmentation for classifying images of vernacular handwritten texts. IIT (2020)
Satheesh K. Perepu, Kaushik Dey
CDDM: A method to detect and handle Concept Drift in Dynamic Mobility Model for seamless 5G Services. GLOBECOM (Workshops) (2020)
Tarak Nath Mandal, Kaushik Dey, Ankita Dutta Banik, Ranjan Mehera, Rajat Kumar Pal
Bottleneck Crosstalk Minimization in Three-Layer Channel Routing. ACSS (1) (2019)