Satheesh K. Perepu

Orcid: 0000-0002-5132-2144

According to our database1, Satheesh K. Perepu authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents.
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.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

2022
Multi-agent reinforcement learning for intent-based service assurance in cellular networks.
CoRR, 2022

A novel unsupervised method for root cause analysis of anomalies using sparse optimization techniques.
Proceedings of the 10th International Conference on Systems and Control, 2022

Intent-based multi-agent reinforcement learning for service assurance in cellular networks.
Proceedings of the IEEE Global Communications Conference, 2022

Optimize Next State Prediction in Safe RL for 5G Ecosystem.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning.
CoRR, 2021

Zero-Shot Federated Learning with New Classes for Audio Classification.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Intelligent Question Answering using Knowledge Representation for Managed Services.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring.
CoRR, 2020

Resource-Constrained Federated Learning with Heterogeneous Labels and Models.
CoRR, 2020

Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting.
CoRR, 2020

CDDM: A method to detect and handle Concept Drift in Dynamic Mobility Model for seamless 5G Services.
Proceedings of the IEEE Globecom Workshops, 2020

2019
Online Estimation of Missing Data Using Sparse Optimization Techniques With Applications to Classical Control.
IEEE Trans. Control. Syst. Technol., 2019

Realizing Social-Media-Based Analytics for Smart Agriculture.
Rev. Socionetwork Strateg., 2019

2018
Focusing Social Media Based Analytics for Plant Diseases in Smart Agriculture.
Proceedings of the 5th Multidisciplinary International Social Networks Conference, 2018

Exploring Collective Behavior of Internet of Robotic Things for Indoor Plant Health Monitoring.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence System, 2018

A New Chat Solution for Shared Services using Natural Language Processing Models.
Proceedings of the 15th International Conference on Natural Language Processing, 2018


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