Arunselvan Ramaswamy

Orcid: 0000-0001-7547-8111

According to our database1, Arunselvan Ramaswamy authored at least 34 papers between 2014 and 2024.

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Bibliography

2024
An Online Simulated Annealing-Based Task Offloading Strategy for a Mobile Edge Architecture.
IEEE Access, 2024

Information Theoretic Deductions Using Machine Learning with an Application in Sociology.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Modeling Batch Tasks Using Recurrent Neural Networks in Co-Located Alibaba Workloads.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
Reinforcement learning for autonomous vehicle movements in wireless multimedia applications.
Pervasive Mob. Comput., 2023

A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks.
CoRR, 2023

Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays.
CoRR, 2023

Gradient Clipping in Deep Learning: A Dynamical Systems Perspective.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

2022
Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis.
IEEE Trans. Artif. Intell., 2022

Optimization Over Time-Varying Networks and Unbounded Information Delays.
IEEE Trans. Autom. Control., 2022

Analyzing Approximate Value Iteration Algorithms.
Math. Oper. Res., 2022

Distributed gradient-based optimization in the presence of dependent aperiodic communication.
CoRR, 2022

Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.
CoRR, 2022

Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Age of Information Process under Strongly Mixing Communication - Moment Bound, Mixing Rate and Strong Law.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning.
IEEE Trans. Autom. Control., 2021

Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!
IACR Cryptol. ePrint Arch., 2021

Practical sufficient conditions for convergence of distributed optimisation algorithms over communication networks with interference.
CoRR, 2021

Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks.
Proceedings of the ICC 2021, 2021

A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020
Theory of Deep Q-Learning: A Dynamical Systems Perspective.
CoRR, 2020

Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems.
Autom., 2020

DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020

2019
Stability of Stochastic Approximations With "Controlled Markov" Noise and Temporal Difference Learning.
IEEE Trans. Autom. Control., 2019

Deep reinforcement learning for scheduling in large-scale networked control systems.
CoRR, 2019

Multi-stage Reinforcement Learning for Object Detection.
Proceedings of the Advances in Computer Vision, 2019

2018
Analysis of Gradient Descent Methods With Nondiminishing Bounded Errors.
IEEE Trans. Autom. Control., 2018

DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling.
IEEE Control. Syst. Lett., 2018

2017
A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions.
Math. Oper. Res., 2017

Conditions for Stability and Convergence of Set-Valued Stochastic Approximations: Applications to Approximate Value and Fixed point Iterations with Noise.
CoRR, 2017

2016
Gradient-based learning algorithms with constant-error estimators: stability and convergence.
CoRR, 2016

2015
Stochastic recursive inclusions with two timescales.
CoRR, 2015

2014
Rainbow Connection Number of Graph Power and Graph Products.
Graphs Comb., 2014

Rainbow Connection Number and Radius.
Graphs Comb., 2014


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