Kaushik Dey - RankMe

17 papers B 3Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Know your Trajectory - Trustworthy Reinforcement Learning deployment through Importance-Based Trajectory Analysis. CoRR Clifford F, Devika Jay, Abhishek Sarkar, Satheesh K. Perepu, Santhosh G. S, Kaushik Dey, Balaraman Ravindran
2024	—	`conf`	DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents. COMAD/CODS Satheesh Kumar Perepu, Kaushik Dey, Abir Das
2024	J	`jnl`	Generative AI in mobile networks: a survey. Ann. des Télécommunications Athanasios Karapantelakis, Pegah Alizadeh, Abdulrahman Alabassi, Kaushik Dey, Alexandros Nikou
2024	—	`conf`	Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs. CCNC Kaushik Dey, Satheesh K. Perepu, Abir Das
2024	J	`jnl`	Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks. CoRR Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
2024	B	`conf`	Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks. NetSoft Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta
2023	B	`conf`	Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. NetSoft Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
2023	J	`jnl`	Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. CoRR Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das
2023	J	`jnl`	Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs. CoRR Kaushik Dey, Satheesh K. Perepu, Abir Das
2022	J	`jnl`	A Forward Scattering Model in Two-Dimensional Half-Space for Scatterers' Size Estimation Using Linear Inversion. IEEE Access Soumyakanti Maiti, Amitabha Bhattacharya, Kaushik Dey
2022	B	`conf`	Intent-based multi-agent reinforcement learning for service assurance in cellular networks. GLOBECOM Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey
2022	J	`jnl`	Multi-agent reinforcement learning for intent-based service assurance in cellular networks. CoRR Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey
2021	J	`jnl`	DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning. CoRR Satheesh K. Perepu, Kaushik Dey
2021	—	`conf`	Exploring Spiking Neural Networks in Single and Multi-agent RL Methods. ICRC M. Saravanan, P. Satheesh Kumar, Kaushik Dey, Sreeja Gaddamidi, Adhesh Reghu Kumar
2020	—	`conf`	CDDM: A method to detect and handle Concept Drift in Dynamic Mobility Model for seamless 5G Services. GLOBECOM (Workshops) Satheesh K. Perepu, Kaushik Dey
2020	—	`conf`	Empirical analysis of generalization through augmentation for classifying images of vernacular handwritten texts. IIT Rajneesh Tiwari, Aritra Sen, Arindam Banerjee, Kaushik Dey
2019	—	`conf`	Bottleneck Crosstalk Minimization in Three-Layer Channel Routing. ACSS (1) Tarak Nath Mandal, Kaushik Dey, Ankita Dutta Banik, Ranjan Mehera, Rajat Kumar Pal