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24 Publications
2021 | Journal Article | LibreCat-ID: 24140
Ramaswamy, A., Redder, A., & Quevedo, D. E. (2021). Distributed optimization over time-varying networks with stochastic information delays. IEEE Transactions on Automatic Control, 1–1. https://doi.org/10.1109/TAC.2021.3108492
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| DOI
2020 | Conference Paper | LibreCat-ID: 24145
Ramaswamy, A. (2020). DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme. 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 54–62.
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2020 | Conference Paper | LibreCat-ID: 24146
Heid, S. H., Ramaswamy, A., & Hüllermeier, E. (2020). Constrained Multi-Agent Optimization with Unbounded Information Delay. Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020, 26, 247.
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2020 | Journal Article | LibreCat-ID: 24147
Ramaswamy, A., Bhatnagar, S., & Quevedo, D. E. (2020). Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning. IEEE Transactions on Automatic Control.
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2019 | Conference Paper | LibreCat-ID: 24141
König, J., Malberg, S., Martens, M., Niehaus, S., Krohn-Grimberghe, A., & Ramaswamy, A. (2019). Multi-stage reinforcement learning for object detection. Science and Information Conference, 178–191.
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2019 | Journal Article | LibreCat-ID: 15741
Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. https://doi.org/10.1016/j.automatica.2019.108759
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| Files available
| DOI
2019 | Conference Paper | LibreCat-ID: 13443 | 
Redder, A., Ramaswamy, A., & Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA.
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2018 | Journal Article | LibreCat-ID: 24150
Ramaswamy, A., & Bhatnagar, S. (2018). Stability of stochastic approximations with “controlled markov” noise and temporal difference learning. IEEE Transactions on Automatic Control, 64(6), 2614–2620.
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2018 | Journal Article | LibreCat-ID: 24151
Demirel, B., Ramaswamy, A., Quevedo, D. E., & Karl, H. (2018). Deepcas: A deep reinforcement learning algorithm for control-aware scheduling. IEEE Control Systems Letters, 2(4), 737–742.
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2017 | Journal Article | LibreCat-ID: 24152
Ramaswamy, A., & Bhatnagar, S. (2017). Analysis of gradient descent methods with nondiminishing bounded errors. IEEE Transactions on Automatic Control, 63(5), 1465–1471.
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2017 | Journal Article | LibreCat-ID: 24153
Ramaswamy, A., & Bhatnagar, S. (2017). A generalization of the Borkar-Meyn theorem for stochastic recursive inclusions. Mathematics of Operations Research, 42(3), 648–661.
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2016 | Journal Article | LibreCat-ID: 24154
Ramaswamy, A., & Bhatnagar, S. (2016). Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem. Stochastics, 88(8), 1173–1187.
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2014 | Journal Article | LibreCat-ID: 24155
Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014). Rainbow connection number of graph power and graph products. Graphs and Combinatorics, 30(6), 1363–1382.
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2014 | Journal Article | LibreCat-ID: 24156
Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014). Rainbow connection number and radius. Graphs and Combinatorics, 30(2), 275–285.
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