24 Publications

Mark all

[24]
2022 | Conference Paper | LibreCat-ID: 32811
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
 
[23]
2022 | Conference Paper | LibreCat-ID: 30793
Redder, Adrian, et al. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.” Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022, doi:10.5220/0010845400003116.
LibreCat | Files available | DOI
 
[22]
2022 | Preprint | LibreCat-ID: 30790
Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence of Dependent  Aperiodic Communication.” ArXiv:2201.11343, 2022.
LibreCat | arXiv
 
[21]
2022 | Preprint | LibreCat-ID: 30791
Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.
LibreCat | arXiv
 
[20]
2022 | Journal Article | LibreCat-ID: 32854
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 | Files available
 
[19]
2021 | Journal Article | LibreCat-ID: 24142
Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Analyzing Approximate Value Iteration Algorithms.” Mathematics of Operations Research (to Appear), 2021.
LibreCat
 
[18]
2021 | Journal Article | LibreCat-ID: 24143
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
 
[17]
2021 | Journal Article | LibreCat-ID: 24148
Ramaswamy, Arunselvan, and Eyke Hüllermeier. “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis.” IEEE Transactions on Artificial Intelligence (to Appear), 2021.
LibreCat
 
[16]
2021 | Conference Paper | LibreCat-ID: 21478
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
 
[15]
2021 | Conference Paper | LibreCat-ID: 21479
Afifi, Haitham, et al. “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.” 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021), 2021.
LibreCat
 
[14]
2021 | Journal Article | LibreCat-ID: 24140
Ramaswamy, Arunselvan, et al. “Distributed Optimization over Time-Varying Networks with Stochastic Information Delays.” IEEE Transactions on Automatic Control, 2021, pp. 1–1, doi:10.1109/TAC.2021.3108492.
LibreCat | DOI
 
[13]
2020 | Conference Paper | LibreCat-ID: 24145
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
 
[12]
2020 | Conference Paper | LibreCat-ID: 24146
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
 
[11]
2020 | Journal Article | LibreCat-ID: 24147
Ramaswamy, Arunselvan, et al. “Asynchronous Stochastic Approximations with Asymptotically Biased Errors and Deep Multi-Agent Learning.” IEEE Transactions on Automatic Control, IEEE, 2020.
LibreCat
 
[10]
2019 | Conference Paper | LibreCat-ID: 24141
König, Jonas, et al. “Multi-Stage Reinforcement Learning for Object Detection.” Science and Information Conference, 2019, pp. 178–91.
LibreCat
 
[9]
2019 | Journal Article | LibreCat-ID: 15741
Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica, 108759, 2019, doi:10.1016/j.automatica.2019.108759.
LibreCat | Files available | DOI
 
[8]
2019 | Conference Paper | LibreCat-ID: 13443 | OA
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 | Files available | Download (ext.)
 
[7]
2018 | Journal Article | LibreCat-ID: 24150
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
 
[6]
2018 | Journal Article | LibreCat-ID: 24151
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
 
[5]
2017 | Journal Article | LibreCat-ID: 24152
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
 
[4]
2017 | Journal Article | LibreCat-ID: 24153
Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions.” Mathematics of Operations Research, vol. 42, no. 3, INFORMS, 2017, pp. 648–61.
LibreCat
 
[3]
2016 | Journal Article | LibreCat-ID: 24154
Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion in Two Timescales with an Application to the Lagrangian Dual Problem.” Stochastics, vol. 88, no. 8, Taylor \& Francis, 2016, pp. 1173–87.
LibreCat
 
[2]
2014 | Journal Article | LibreCat-ID: 24155
Basavaraju, Manu, et al. “Rainbow Connection Number of Graph Power and Graph Products.” Graphs and Combinatorics, vol. 30, no. 6, Springer, 2014, pp. 1363–82.
LibreCat
 
[1]
2014 | Journal Article | LibreCat-ID: 24156
Basavaraju, Manu, et al. “Rainbow Connection Number and Radius.” Graphs and Combinatorics, vol. 30, no. 2, Springer, 2014, pp. 275–85.
LibreCat
 

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24 Publications

Mark all

[24]
2022 | Conference Paper | LibreCat-ID: 32811
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
 
[23]
2022 | Conference Paper | LibreCat-ID: 30793
Redder, Adrian, et al. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.” Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022, doi:10.5220/0010845400003116.
LibreCat | Files available | DOI
 
[22]
2022 | Preprint | LibreCat-ID: 30790
Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence of Dependent  Aperiodic Communication.” ArXiv:2201.11343, 2022.
LibreCat | arXiv
 
[21]
2022 | Preprint | LibreCat-ID: 30791
Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.
LibreCat | arXiv
 
[20]
2022 | Journal Article | LibreCat-ID: 32854
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 | Files available
 
[19]
2021 | Journal Article | LibreCat-ID: 24142
Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Analyzing Approximate Value Iteration Algorithms.” Mathematics of Operations Research (to Appear), 2021.
LibreCat
 
[18]
2021 | Journal Article | LibreCat-ID: 24143
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
 
[17]
2021 | Journal Article | LibreCat-ID: 24148
Ramaswamy, Arunselvan, and Eyke Hüllermeier. “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis.” IEEE Transactions on Artificial Intelligence (to Appear), 2021.
LibreCat
 
[16]
2021 | Conference Paper | LibreCat-ID: 21478
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
 
[15]
2021 | Conference Paper | LibreCat-ID: 21479
Afifi, Haitham, et al. “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.” 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021), 2021.
LibreCat
 
[14]
2021 | Journal Article | LibreCat-ID: 24140
Ramaswamy, Arunselvan, et al. “Distributed Optimization over Time-Varying Networks with Stochastic Information Delays.” IEEE Transactions on Automatic Control, 2021, pp. 1–1, doi:10.1109/TAC.2021.3108492.
LibreCat | DOI
 
[13]
2020 | Conference Paper | LibreCat-ID: 24145
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
 
[12]
2020 | Conference Paper | LibreCat-ID: 24146
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
 
[11]
2020 | Journal Article | LibreCat-ID: 24147
Ramaswamy, Arunselvan, et al. “Asynchronous Stochastic Approximations with Asymptotically Biased Errors and Deep Multi-Agent Learning.” IEEE Transactions on Automatic Control, IEEE, 2020.
LibreCat
 
[10]
2019 | Conference Paper | LibreCat-ID: 24141
König, Jonas, et al. “Multi-Stage Reinforcement Learning for Object Detection.” Science and Information Conference, 2019, pp. 178–91.
LibreCat
 
[9]
2019 | Journal Article | LibreCat-ID: 15741
Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica, 108759, 2019, doi:10.1016/j.automatica.2019.108759.
LibreCat | Files available | DOI
 
[8]
2019 | Conference Paper | LibreCat-ID: 13443 | OA
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 | Files available | Download (ext.)
 
[7]
2018 | Journal Article | LibreCat-ID: 24150
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
 
[6]
2018 | Journal Article | LibreCat-ID: 24151
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
 
[5]
2017 | Journal Article | LibreCat-ID: 24152
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
 
[4]
2017 | Journal Article | LibreCat-ID: 24153
Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions.” Mathematics of Operations Research, vol. 42, no. 3, INFORMS, 2017, pp. 648–61.
LibreCat
 
[3]
2016 | Journal Article | LibreCat-ID: 24154
Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion in Two Timescales with an Application to the Lagrangian Dual Problem.” Stochastics, vol. 88, no. 8, Taylor \& Francis, 2016, pp. 1173–87.
LibreCat
 
[2]
2014 | Journal Article | LibreCat-ID: 24155
Basavaraju, Manu, et al. “Rainbow Connection Number of Graph Power and Graph Products.” Graphs and Combinatorics, vol. 30, no. 6, Springer, 2014, pp. 1363–82.
LibreCat
 
[1]
2014 | Journal Article | LibreCat-ID: 24156
Basavaraju, Manu, et al. “Rainbow Connection Number and Radius.” Graphs and Combinatorics, vol. 30, no. 2, Springer, 2014, pp. 275–85.
LibreCat
 

Search

Filter Publications

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Citation Style: MLA

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