Redder, A., Ramaswamy, A., &; Karl, H. (2022). Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law. Proceedings of the 58th Allerton Conference on Communication, Control, and Computing. 58th Allerton Conference on Communication, Control, and Computing.
LibreCat: /record/32811

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. Proceedings of the 14th International Conference on Agents and Artificial Intelligence.https://doi.org/10.5220/0010845400003116 
LibreCat: /record/30793
DOI: 10.5220/0010845400003116

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Distributed gradient-based optimization in the presence of dependent  aperiodic communication. In arXiv:2201.11343.
LibreCat: /record/30790
arXiv: 2201.11343

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. In arXiv:2201.00570.
LibreCat: /record/30791
arXiv: 2201.00570

Redder, A., Ramaswamy, A., &; Karl, H. (2022). Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13), 133–138.
LibreCat: /record/32854

Ramaswamy, A., &; Bhatnagar, S. (2021). Analyzing Approximate Value Iteration Algorithms. Mathematics of Operations Research (to Appear).
LibreCat: /record/24142

Drees, J. P., Gupta, P., Hüllermeier, E., Jager, T., Konze, A., Priesterjahn, C., Ramaswamy, A., &; Somorovsky, J. (2021). Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! 14th ACM Workshop on Artificial Intelligence and Security.
LibreCat: /record/24143

Ramaswamy, A., &; Hüllermeier, E. (2021). Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis. IEEE Transactions on Artificial Intelligence (to Appear).
LibreCat: /record/24148

Afifi, H., Ramaswamy, A., &; Karl, H. (2021). 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). Montreal, Canada.
LibreCat: /record/21478

Afifi, H., Ramaswamy, A., &; Karl, H. (2021). A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In 2021 IEEE 18th Annual Consumer Communications \'26; Networking Conference (CCNC) (CCNC 2021).
LibreCat: /record/21479

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 
LibreCat: /record/24140
DOI: 10.1109/TAC.2021.3108492

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.
LibreCat: /record/24145

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.
LibreCat: /record/24146

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.
LibreCat: /record/24147

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.
LibreCat: /record/24141

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 
LibreCat: /record/15741
DOI: 10.1016/j.automatica.2019.108759

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.
LibreCat: /record/13443

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.
LibreCat: /record/24150

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.
LibreCat: /record/24151

Ramaswamy, A., &; Bhatnagar, S. (2017). Analysis of gradient descent methods with nondiminishing bounded errors. IEEE Transactions on Automatic Control, 63(5), 1465–1471.
LibreCat: /record/24152