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Kaushik Dey
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2020 – today
- 2024
- [j2]Athanasios Karapantelakis, Pegah Alizadeh, Abdulrahman Alabassi, Kaushik Dey, Alexandros Nikou:
Generative AI in mobile networks: a survey. Ann. des Télécommunications 79(1-2): 15-33 (2024) - [c9]Kaushik Dey, Satheesh K. Perepu, Abir Das:
Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs. CCNC 2024: 425-432 - [c8]Satheesh Kumar Perepu, Kaushik Dey, Abir Das:
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents. COMAD/CODS 2024: 73-81 - [c7]Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta:
Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks. NetSoft 2024: 336-340 - [i5]Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta:
Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks. CoRR abs/2405.07621 (2024) - 2023
- [c6]Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das:
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. NetSoft 2023: 152-160 - [i4]Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das:
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. CoRR abs/2303.01013 (2023) - [i3]Kaushik Dey, Satheesh K. Perepu, Abir Das:
Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs. CoRR abs/2310.17416 (2023) - 2022
- [j1]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: 19379-19390 (2022) - [c5]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: 2879-2884 - [i2]Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey:
Multi-agent reinforcement learning for intent-based service assurance in cellular networks. CoRR abs/2208.03740 (2022) - 2021
- [c4]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: 88-98 - [i1]Satheesh K. Perepu, Kaushik Dey:
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning. CoRR abs/2109.06609 (2021) - 2020
- [c3]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: 1-6 - [c2]Rajneesh Tiwari, Aritra Sen, Arindam Banerjee, Kaushik Dey:
Empirical analysis of generalization through augmentation for classifying images of vernacular handwritten texts. IIT 2020: 186-191
2010 – 2019
- 2019
- [c1]Tarak Nath Mandal, Kaushik Dey, Ankita Dutta Banik, Ranjan Mehera, Rajat Kumar Pal:
Bottleneck Crosstalk Minimization in Three-Layer Channel Routing. ACSS (1) 2019: 79-98
Coauthor Index
aka: Satheesh Kumar Perepu
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