Amol Yerudkar
Orcid: 0000-0003-3994-3842
According to our database1,
Amol Yerudkar
authored at least 24 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Stabilization of Probabilistic Boolean Networks via State-Flipped Control and Reinforcement Learning.
IEEE Trans. Autom. Control., March, 2024
IEEE Trans. Autom. Control., February, 2024
2023
Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach.
Inf. Sci., 2023
Unsupervised Anomaly Detection for Multivariate Incomplete Data using GAN-based Data Imputation: A Comparative Study.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023
2022
An Optimal Decision Support System Based on Crop Dynamic Model for N-Fertilizer Treatment.
Sensors, 2022
A Bibliometric Review of the Use of Unmanned Aerial Vehicles in Precision Agriculture and Precision Viticulture for Sensing Applications.
Remote. Sens., 2022
Self-triggered control of probabilistic Boolean control networks: A reinforcement learning approach.
J. Frankl. Inst., 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems.
Proceedings of the American Control Conference, 2022
2021
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett., 2021
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett., 2021
Random Forest Q-Learning for Feedback Stabilization of Probabilistic Boolean Control Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Missing Data Imputation for Real Time-series Data in a Steel Industry using Generative Adversarial Networks.
Proceedings of the IECON 2021, 2021
Aperiodic Sampled-Data Stabilization of Probabilistic Boolean Control Networks: Deep Q-learning Approach with Relaxed Bellman Operator.
Proceedings of the 2021 European Control Conference, 2021
2020
IEEE Control. Syst. Lett., 2020
Autom., 2020
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks.
IEEE Access, 2020
2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Subspace and Coordinate Transformation for Boolean Control Networks using Binary Logic.
Proceedings of the 27th Mediterranean Conference on Control and Automation, 2019
Proceedings of the 17th European Control Conference, 2019
2018
Proceedings of the 16th European Control Conference, 2018
2014
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014