Redder, Adrian, et al. “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, 2022.
LibreCat: /record/32811

Redder, Adrian, et al. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.”10.5220/0010845400003116__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, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence of Dependent  Aperiodic Communication.” ArXiv:2201.11343, 2022.
LibreCat: /record/30790
arXiv: 2201.11343

Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.
LibreCat: /record/30791
arXiv: 2201.00570

Redder, Adrian, et al. “Practical Network Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine, vol. 55, no. 13, Elsevier, 2022, pp. 133–138.
LibreCat: /record/32854

Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Analyzing Approximate Value Iteration Algorithms.” Mathematics of Operations Research (to Appear), 2021.
LibreCat: /record/24142

Drees, Jan Peter, et al. “Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!” 14th ACM Workshop on Artificial Intelligence and Security, 2021.
LibreCat: /record/24143

Ramaswamy, Arunselvan, and Eyke Hüllermeier. “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis.” IEEE Transactions on Artificial Intelligence (to Appear), 2021.
LibreCat: /record/24148

Afifi, Haitham, et al. “Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks.” 2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium), 2021.
LibreCat: /record/21478

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

Ramaswamy, Arunselvan, et al. “Distributed Optimization over Time-Varying Networks with Stochastic Information Delays.”10.1109/TAC.2021.3108492__IEEE Transactions on Automatic Control, 2021, pp. 1–1, doi:10.1109/TAC.2021.3108492.
LibreCat: /record/24140
DOI: 10.1109/TAC.2021.3108492

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

Heid, Stefan Helmut, et al. “Constrained Multi-Agent Optimization with Unbounded Information Delay.” Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020, vol. 26, 2020, p. 247.
LibreCat: /record/24146

Ramaswamy, Arunselvan, et al. “Asynchronous Stochastic Approximations with Asymptotically Biased Errors and Deep Multi-Agent Learning.” IEEE Transactions on Automatic Control, IEEE, 2020.
LibreCat: /record/24147

König, Jonas, et al. “Multi-Stage Reinforcement Learning for Object Detection.” Science and Information Conference, 2019, pp. 178–91.
LibreCat: /record/24141

Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.”10.1016/j.automatica.2019.108759__Automatica, 108759, 2019, doi:10.1016/j.automatica.2019.108759.
LibreCat: /record/15741
DOI: 10.1016/j.automatica.2019.108759

Redder, Adrian, et al. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.
LibreCat: /record/13443

Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stability of Stochastic Approximations with ‘Controlled Markov’ Noise and Temporal Difference Learning.” IEEE Transactions on Automatic Control, vol. 64, no. 6, IEEE, 2018, pp. 2614–20.
LibreCat: /record/24150

Demirel, Burak, et al. “Deepcas: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling.” IEEE Control Systems Letters, vol. 2, no. 4, IEEE, 2018, pp. 737–42.
LibreCat: /record/24151

Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Analysis of Gradient Descent Methods with Nondiminishing Bounded Errors.” IEEE Transactions on Automatic Control, vol. 63, no. 5, IEEE, 2017, pp. 1465–71.
LibreCat: /record/24152