Folgen
Arunselvan Ramaswamy
Titel
Zitiert von
Zitiert von
Jahr
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
1042020
Rainbow connection number and radius
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30, 275-285, 2014
642014
Rainbow connection number and radius
M Basavaraju, LS Chandran, D Rajendraprasad, A Ramaswamy
Graphs and Combinatorics 30, 275-285, 2014
642014
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
552018
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
A generalization of the Borkar-Meyn theorem for stochastic recursive inclusions
A Ramaswamy, S Bhatnagar
Mathematics of Operations Research 42 (3), 648-661, 2017
282017
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
232018
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
222020
Deep q-learning: Theoretical insights from an asymptotic analysis
A Ramaswamy, E Hüllermeier
IEEE Transactions on Artificial Intelligence 3 (2), 139-151, 2021
16*2021
Analysis of gradient descent methods with nondiminishing bounded errors
A Ramaswamy, S Bhatnagar
IEEE Transactions on Automatic Control 63 (5), 1465-1471, 2017
152017
Asymptotic convergence of deep multi-agent actor-critic algorithms
A Redder, A Ramaswamy, H Karl
arXiv: 2201.00570, 2022
112022
Deep reinforcement learning for scheduling in large-scale networked control systems
A Redder, A Ramaswamy, DE Quevedo
IFAC-PapersOnLine 52 (20), 333-338, 2019
112019
Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem
A Ramaswamy, S Bhatnagar
Stochastics 88 (8), 1173-1187, 2016
92016
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
82020
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
52021
Optimization over time-varying networks with unbounded delays
A Ramaswamy, A Redder, DE Quevedo
arXiv preprint arXiv:1912.07055, 2019
52019
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
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
32022
Practical network conditions for the convergence of distributed optimization
A Redder, A Ramaswamy, H Karl
IFAC-PapersOnLine 55 (13), 133-138, 2022
32022
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
32021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20