Satheesh K. Perepu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Top Venues

IEEE Trans. Control. Syst. Technol.

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)
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, M. Saravanan
Optimize Next State Prediction in Safe RL for 5G Ecosystem. COMSNETS (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)
Satheesh K. Perepu, Vivek Shankar Pinnamaraju
A novel unsupervised method for root cause analysis of anomalies using sparse optimization techniques. ICSC (2022)
M. Saravanan, Satheesh K. Perepu
Intelligent Question Answering using Knowledge Representation for Managed Services. COMAD/CODS (2021)
Gautham Krishna Gudur, Satheesh K. Perepu
Zero-Shot Federated Learning with New Classes for Audio Classification. CoRR (2021)
Satheesh K. Perepu, Kaushik Dey
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning. CoRR (2021)
Gautham Krishna Gudur, Satheesh K. Perepu
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring. CoRR (2020)
Gautham Krishna Gudur, Bala Shyamala Balaji, Satheesh K. Perepu
Resource-Constrained Federated Learning with Heterogeneous Labels and Models. CoRR (2020)
Satheesh K. Perepu, Bala Shyamala Balaji, Hemanth Kumar Tanneru, Sudhakar Kathari, Vivek Shankar Pinnamaraju
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting. CoRR (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)
M. Saravanan, Satheesh K. Perepu
Realizing Social-Media-Based Analytics for Smart Agriculture. Rev. Socionetwork Strateg. 13 (1) (2019)
Satheesh K. Perepu, Arun K. Tangirala
Online Estimation of Missing Data Using Sparse Optimization Techniques With Applications to Classical Control. IEEE Trans. Control. Syst. Technol. 27 (2) (2019)
M. Saravanan, Satheesh K. Perepu, Sudipta Bose
A New Chat Solution for Shared Services using Natural Language Processing Models. ICON (2018)
M. Saravanan, Satheesh K. Perepu, Amit Sharma
Exploring Collective Behavior of Internet of Robotic Things for Indoor Plant Health Monitoring. IOTAIS (2018)
M. Saravanan, Satheesh K. Perepu
Focusing Social Media Based Analytics for Plant Diseases in Smart Agriculture. MISNC (2018)