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

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

Redder A, Ramaswamy A, Karl H. Distributed gradient-based optimization in the presence of dependent  aperiodic communication. arXiv:220111343. Published online 2022.
LibreCat: /record/30790
arXiv: 2201.11343

Redder A, Ramaswamy A, Karl H. Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. arXiv:220100570. Published online 2022.
LibreCat: /record/30791
arXiv: 2201.00570

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

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

Drees JP, Gupta P, Hüllermeier E, et al. Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! 14th ACM Workshop on Artificial Intelligence and Security. Published online 2021.
LibreCat: /record/24143

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

Afifi H, Ramaswamy A, Karl H. 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; 2021.
LibreCat: /record/21478

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

Ramaswamy A, Redder A, Quevedo DE. Distributed optimization over time-varying networks with stochastic information delays. IEEE Transactions on Automatic Control. Published online 2021:1-1. doi:10.1109/TAC.2021.3108492
LibreCat: /record/24140
DOI: 10.1109/TAC.2021.3108492

Ramaswamy A. DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme. In: 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). ; 2020:54-62.
LibreCat: /record/24145

Heid SH, Ramaswamy A, Hüllermeier E. Constrained Multi-Agent Optimization with Unbounded Information Delay. In: Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020. Vol 26. ; 2020:247.
LibreCat: /record/24146

Ramaswamy A, Bhatnagar S, Quevedo DE. Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning. IEEE Transactions on Automatic Control. Published online 2020.
LibreCat: /record/24147

König J, Malberg S, Martens M, Niehaus S, Krohn-Grimberghe A, Ramaswamy A. Multi-stage reinforcement learning for object detection. In: Science and Information Conference. ; 2019:178-191.
LibreCat: /record/24141

Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. 2019. doi:10.1016/j.automatica.2019.108759
LibreCat: /record/15741
DOI: 10.1016/j.automatica.2019.108759

Redder A, Ramaswamy A, Quevedo D. 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. ; 2019.
LibreCat: /record/13443

Ramaswamy A, Bhatnagar S. Stability of stochastic approximations with “controlled markov” noise and temporal difference learning. IEEE Transactions on Automatic Control. 2018;64(6):2614-2620.
LibreCat: /record/24150

Demirel B, Ramaswamy A, Quevedo DE, Karl H. Deepcas: A deep reinforcement learning algorithm for control-aware scheduling. IEEE Control Systems Letters. 2018;2(4):737-742.
LibreCat: /record/24151

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