Arunselvan Ramaswamy
Title
Cited by
Cited by
Year
Rainbow connection number and radius
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30 (2), 275-285, 2014
602014
Rainbow connection number and radius
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30 (2), 275-285, 2014
602014
Deepcas: A deep reinforcement learning algorithm for control-aware scheduling
B Demirel, A Ramaswamy, DE Quevedo, H Karl
IEEE Control Systems Letters 2 (4), 737-742, 2018
322018
Rainbow connection number of graph power and graph products
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30 (6), 1363-1382, 2014
292014
A generalization of the Borkar-Meyn theorem for stochastic recursive inclusions
A Ramaswamy, S Bhatnagar
Mathematics of Operations Research 42 (3), 648-661, 2017
132017
Analysis of gradient descent methods with nondiminishing bounded errors
A Ramaswamy, S Bhatnagar
IEEE Transactions on Automatic Control 63 (5), 1465-1471, 2017
122017
Stability of stochastic approximations with “controlled markov” noise and temporal difference learning
A Ramaswamy, S Bhatnagar
IEEE Transactions on Automatic Control 64 (6), 2614-2620, 2018
82018
Deep reinforcement learning for scheduling in large-scale networked control systems
A Redder, A Ramaswamy, DE Quevedo
IFAC-PapersOnLine 52 (20), 333-338, 2019
72019
Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem
A Ramaswamy, S Bhatnagar
Stochastics 88 (8), 1173-1187, 2016
72016
Multi-stage reinforcement learning for object detection
J König, S Malberg, M Martens, S Niehaus, A Krohn-Grimberghe, ...
Science and Information Conference, 178-191, 2019
52019
Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning
A Ramaswamy, S Bhatnagar, DE Quevedo
IEEE Transactions on Automatic Control, 2020
42020
Asymptotic and non-asymptotic convergence properties of stochastic approximation with controlled Markov noise without ensuring stability
P Karmakar, A Ramaswamy, S Bhatnagar, VS Borkar
4*2016
Optimization over time-varying networks with unbounded delays
A Ramaswamy, A Redder, DE Quevedo
arXiv preprint arXiv:1912.07055, 2019
22019
A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks
H Afifi, A Ramaswamy, H Karl
2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021
12021
Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis
A Ramaswamy, E Hüllermeier
arXiv preprint arXiv:2008.10870, 2020
12020
DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme
A Ramaswamy
2020 28th Euromicro International Conference on Parallel, Distributed and …, 2020
12020
Multi-Stage Reinforcement Learning For Object Detection
J König, S Malberg, M Martens, S Niehaus, A Krohn-Grimberghe, ...
arXiv preprint arXiv:1810.10325, 2018
12018
Conditions for stability and convergence of set-valued stochastic approximations: Applications to approximate value and fixed point iterations
A Ramaswamy, S Bhatnagar
arXiv preprint arXiv:1709.04673, 2017
12017
Practical sufficient conditions for convergence of distributed optimisation algorithms over communication networks with interference
A Redder, A Ramaswamy, H Karl
arXiv preprint arXiv:2105.04230, 2021
2021
Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks
H Afifi, A Ramaswamy, H Karl
2021 IEEE International Conference on Communications (ICC): IoT and Sensor …, 2021
2021
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