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
612014
Rainbow connection number and radius
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30 (2), 275-285, 2014
612014
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
362018
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
302014
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
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
102019
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
102018
Deep reinforcement learning for scheduling in large-scale networked control systems
A Redder, A Ramaswamy, DE Quevedo
IFAC-PapersOnLine 52 (20), 333-338, 2019
82019
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
Asymptotic and non-asymptotic convergence properties of stochastic approximation with controlled Markov noise without ensuring stability
P Karmakar, A Ramaswamy, S Bhatnagar, VS Borkar
5*2016
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
Theory of Deep Q-Learning: A Dynamical Systems Perspective
A Ramaswamy
arXiv e-prints, arXiv: 2008.10870, 2020
32020
DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme
A Ramaswamy
2020 28th Euromicro International Conference on Parallel, Distributed and …, 2020
22020
Optimization over time-varying networks with unbounded delays
A Ramaswamy, A Redder, DE Quevedo
arXiv preprint arXiv:1912.07055, 2019
22019
Reinforcement learning for autonomous vehicle movements in wireless sensor networks
H Afifi, A Ramaswamy, H Karl
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
12021
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
Analyzing Approximate Value Iteration Algorithms
A Ramaswamy, S Bhatnagar
arXiv preprint arXiv:1709.04673, 2017
12017
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
Distributed optimization over time-varying networks with stochastic information delays
A Ramaswamy, A Redder, DE Quevedo
IEEE Transactions on Automatic Control, 2021
2021
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