Seuraa
Arunselvan Ramaswamy
Arunselvan Ramaswamy
Dept. of Computer Science, Karlstad University
Vahvistettu sähköpostiosoite verkkotunnuksessa kau.se - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
AS Leong, A Ramaswamy, DE Quevedo, H Karl, L Shi
Automatica 113, 108759, 2020
1562020
Rainbow connection number and radius
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30, 275-285, 2014
692014
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
672018
A generalization of the Borkar-Meyn theorem for stochastic recursive inclusions
A Ramaswamy, S Bhatnagar
Mathematics of Operations Research 42 (3), 648-661, 2017
382017
Rainbow connection number of graph power and graph products
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30, 1363-1382, 2014
352014
Deep Q-learning: Theoretical insights from an asymptotic analysis
A Ramaswamy, E Hüllermeier
IEEE Transactions on Artificial Intelligence 3 (2), 139-151, 2021
29*2021
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
282018
Multi-stage reinforcement learning for object detection
J König, S Malberg, M Martens, S Niehaus, A Krohn-Grimberghe, ...
Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020
242020
Analysis of gradient descent methods with nondiminishing bounded errors
A Ramaswamy, S Bhatnagar
IEEE Transactions on Automatic Control 63 (5), 1465-1471, 2017
242017
Deep reinforcement learning for scheduling in large-scale networked control systems
A Redder, A Ramaswamy, DE Quevedo
IFAC-PapersOnLine 52 (20), 333-338, 2019
212019
Stochastic recursive inclusion in two timescales with an application to the Lagrangian dual problem
A Ramaswamy, S Bhatnagar
Stochastics 88 (8), 1173-1187, 2016
132016
Asymptotic convergence of deep multi-agent actor-critic algorithms
A Redder, A Ramaswamy, H Karl
arXiv: 2201.00570, 2022
122022
Asynchronous stochastic approximations with asymptotically biased errors and deep multiagent learning
A Ramaswamy, S Bhatnagar, DE Quevedo
IEEE Transactions on Automatic Control 66 (9), 3969-3983, 2020
112020
Automated detection of side channels in cryptographic protocols: DROWN the ROBOTs!
JP Drees, P Gupta, E Hüllermeier, T Jager, A Konze, C Priesterjahn, ...
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021
82021
Optimization over time-varying networks and unbounded information delays
A Ramaswamy, A Redder, DE Quevedo
IEEE Transactions on Automatic Control 67 (8), 4131-4137, 2021
82021
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
72021
Age of information process under strongly mixing communication-moment bound, mixing rate and strong law
A Redder, A Ramaswamy, H Karl
2022 58th Annual Allerton Conference on Communication, Control, and …, 2022
62022
Analyzing approximate value iteration algorithms
A Ramaswamy, S Bhatnagar
Mathematics of Operations Research 47 (3), 2138-2159, 2022
62022
3DPG: Distributed deep deterministic policy gradient algorithms for networked multi-agent systems
A Redder, A Ramaswamy, H Karl
arXiv preprint arXiv:2201.00570, 2022
52022
Practical network conditions for the convergence of distributed optimization
A Redder, A Ramaswamy, H Karl
IFAC-PapersOnLine 55 (13), 133-138, 2022
52022
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Artikkelit 1–20