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24 Publications


2022 | Conference Paper | LibreCat-ID: 32811
A. Redder, A. Ramaswamy, and H. Karl, “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law,” presented at the 58th Allerton Conference on Communication, Control, and Computing, 2022.
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2022 | Conference Paper | LibreCat-ID: 30793
A. Redder, A. Ramaswamy, and H. Karl, “Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication,” 2022, doi: 10.5220/0010845400003116.
LibreCat | Files available | DOI
 

2022 | Preprint | LibreCat-ID: 30790
A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization in the presence of dependent  aperiodic communication,” arXiv:2201.11343. 2022.
LibreCat | arXiv
 

2022 | Preprint | LibreCat-ID: 30791
A. Redder, A. Ramaswamy, and H. Karl, “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms,” arXiv:2201.00570. 2022.
LibreCat | arXiv
 

2022 | Journal Article | LibreCat-ID: 32854
A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no. 13, pp. 133–138, 2022.
LibreCat | Files available
 

2021 | Journal Article | LibreCat-ID: 24142
A. Ramaswamy and S. Bhatnagar, “Analyzing Approximate Value Iteration Algorithms,” Mathematics of Operations Research (to appear), 2021.
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2021 | Journal Article | LibreCat-ID: 24143
J. P. Drees et al., “Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!,” 14th ACM Workshop on Artificial Intelligence and Security, 2021.
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2021 | Journal Article | LibreCat-ID: 24148
A. Ramaswamy and E. Hüllermeier, “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis,” IEEE Transactions on Artificial Intelligence (to appear), 2021.
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2021 | Conference Paper | LibreCat-ID: 21478
H. Afifi, A. Ramaswamy, and H. Karl, “Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks,” in 2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium), 2021.
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2021 | Conference Paper | LibreCat-ID: 21479
H. Afifi, A. Ramaswamy, and H. Karl, “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks,” in 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021), 2021.
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2021 | Journal Article | LibreCat-ID: 24140
A. Ramaswamy, A. Redder, and D. E. Quevedo, “Distributed optimization over time-varying networks with stochastic information delays,” IEEE Transactions on Automatic Control, pp. 1–1, 2021, doi: 10.1109/TAC.2021.3108492.
LibreCat | DOI
 

2020 | Conference Paper | LibreCat-ID: 24145
A. Ramaswamy, “DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme,” in 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2020, pp. 54–62.
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2020 | Conference Paper | LibreCat-ID: 24146
S. H. Heid, A. Ramaswamy, and E. Hüllermeier, “Constrained Multi-Agent Optimization with Unbounded Information Delay,” in Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020, 2020, vol. 26, p. 247.
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2020 | Journal Article | LibreCat-ID: 24147
A. Ramaswamy, S. Bhatnagar, and D. E. Quevedo, “Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning,” IEEE Transactions on Automatic Control, 2020.
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2019 | Conference Paper | LibreCat-ID: 24141
J. König, S. Malberg, M. Martens, S. Niehaus, A. Krohn-Grimberghe, and A. Ramaswamy, “Multi-stage reinforcement learning for object detection,” in Science and Information Conference, 2019, pp. 178–191.
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2019 | Journal Article | LibreCat-ID: 15741
A. S. Leong, A. Ramaswamy, D. E. Quevedo, H. Karl, and L. Shi, “Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems,” Automatica, 2019.
LibreCat | Files available | DOI
 

2019 | Conference Paper | LibreCat-ID: 13443 | OA
A. Redder, A. Ramaswamy, and D. Quevedo, “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, 2019.
LibreCat | Files available | Download (ext.)
 

2018 | Journal Article | LibreCat-ID: 24150
A. Ramaswamy and S. Bhatnagar, “Stability of stochastic approximations with ‘controlled markov’ noise and temporal difference learning,” IEEE Transactions on Automatic Control, vol. 64, no. 6, pp. 2614–2620, 2018.
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2018 | Journal Article | LibreCat-ID: 24151
B. Demirel, A. Ramaswamy, D. E. Quevedo, and H. Karl, “Deepcas: A deep reinforcement learning algorithm for control-aware scheduling,” IEEE Control Systems Letters, vol. 2, no. 4, pp. 737–742, 2018.
LibreCat
 

2017 | Journal Article | LibreCat-ID: 24152
A. Ramaswamy and S. Bhatnagar, “Analysis of gradient descent methods with nondiminishing bounded errors,” IEEE Transactions on Automatic Control, vol. 63, no. 5, pp. 1465–1471, 2017.
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