Publications

Preprints and Journal Papers

1. J. Arabneydi and A. G. Aghdam, Deep Structured Teams in Smart Grids: Applications to Microgrids and Demand-Side Management, submitted.

2. J. Arabneydi and A. G. Aghdam, Deep Structured Tracking by Receding Horizon Control: Applications to Swarm Robotics with Cyber-Physical Attacks, submitted.

3. J. Arabneydi and A. G. Aghdam, Purely Reciprocal Deep Structured Games: The Role of Reciprocity in Psychological Games, submitted.

4. J. Arabneydi and A. G. Aghdam, Deep Structured Teams and Games with Markov-Chain Model: Finite and Infinite Number of Players, submitted.

5. J. Arabneydi and A. G. Aghdam, Deep Structured Teams with Linear Quadratic Model: Partial Equivariance and Gauge Transformation, submitted to IEEE Transactions on Control of Network System, 2019. (pdf)

6. M. M. Baharloo, J. Arabneydi, and A. G. Aghdam, MinMax Mean-Field Team Approach for a Leader-Follower Network: A Saddle-Point Strategy, IEEE Control Systems Letters, vol. 4, no. 1, pp. 121--126, 2020. (pdf)

7. J. Arabneydi and A. G. Aghdam, Data Collection versus Data Estimation: A Fundamental Trade-off in Dynamic Networks, IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, pp. 2000--2015, 2020. (pdf)

8. J. Arabneydi, A. G. Aghdam, and R. P. Malhamé, Explicit Sequential Equilibria in LQ Deep Structured Games and Weighted Mean-Field Games, to appear in Automatica, 19 pages, 2020. (pdf)

9. J. Arabneydi and A. G. Aghdam, Deep Teams: Decentralized Decision Making with Finite and Infinite Number of Agents, IEEE Transactions on Automatic Control, vol. 65, no. 10, pp. 4230--4245, 2020. (pdf)

10. J. Arabneydi and A. Mahajan, Linear Quadratic Mean Field Teams: Optimal and Approximately Optimal Decentralized Solutions, Available on Arxiv, 16 pages, 2016. (pdf)

Conference Papers

1. J. Arabneydi and Amir G. Aghdam, Deep Structured Teams in Arbitrary-Size Linear Networks: Decentralized Estimation, Optimal Control and Separation Principle, IEEE Conference on Decision and Control (CDC), 2021. (pdf)

2. J. Arabneydi and Amir G. Aghdam, Receding Horizon Control in Deep Structured Teams: A Provably Tractable Large-Scale Approach with Application to Swarm Robotics, IEEE Conference on Decision and Control (CDC), 2021. (pdf)

3. V. Fathi, J. Arabneydi and Amir G. Aghdam, Reinforcement Learning in Linear Quadratic Deep Structured Teams: Global Convergence of Policy Gradient Methods, IEEE Conference on Decision and Control (CDC), 2020. (pdf)

4. M. Roudneshin, J. Arabneydi and Amir G. Aghdam, Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization, IEEE Conference on Decision and Control (CDC), 2020. (Invited) (pdf)

5. J. Arabneydi, M. Roudneshin and Amir G. Aghdam, Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features, IEEE Conference on Control Technology and Applications, 2020. (pdf)

6. J. Arabneydi, A. G. Aghdam, A Mean-Field Team Approach to Minimize the Spread of Infection in a Network, American Control Conference (ACC), 2019. (pdf)

7. J. Arabneydi, A. G. Aghdam, Near-Optimal Design for Fault-Tolerant Systems with Homogeneous Components under Incomplete Information, IEEE International Midwest Symposium on Circuits and Systems, 2018. (Invited) (pdf)

8. M. M. Baharloo, J. Arabneydi, and A. G. Aghdam, Near-Optimal Control Strategy in Leader-Follower Networks: A Case Study for Linear Quadratic Mean-Field Teams, IEEE Conference on Decision and Control (CDC), 2018. (pdf)

9. J. Arabneydi, M. M. Baharloo, and A. G. Aghdam, Optimal Distributed Control for Leader-Follower Networks: A Scalable Design, Canadian Conference on Electrical and Computer Engineering, 2018. (pdf)

10. J. Arabneydi, A. G. Aghdam, Optimal Dynamic Pricing for Binary Demands in Smart Grid: A Fair and Privacy-Preserving Strategy, American Control Conference (ACC), 2018. (pdf)

11. J. Arabneydi, A. G. Aghdam, A Certainty Equivalence Result in Team- Optimal Control of Mean-Field Coupled Markov Chains, IEEE Conference on Decision and Control (CDC), 2017. (pdf)

12. J. Arabneydi and A. Mahajan, Mean Field Linear Quadratic Teams, Cahiers du GERAD, G-2015-121, 2015.

13. J. Arabneydi and A. Mahajan, Team Optimal Solution of Finite Number of Mean-Field Coupled LQG Subsystems, IEEE Conference on Decision and Control (CDC), 2015. (pdf)

14. J. Arabneydi and A. Mahajan, Reinforcement Learning in Multi-Agent Systems with Partial History Sharing, Reinforcement Learning and Decision Making, 2015. Fewer than 15% of accepted papers were awarded an oral presentation

15. J. Arabneydi and A. Mahajan, Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing, American Control Conference (ACC), 2015. (pdf)

16. J. Arabneydi and A. Mahajan, Team Optimal Control of Coupled Major-Minor Subsystems with Mean-Field Sharing, IEEE Indian Control Conference (ICC), Jan., 2015. (pdf)

17. J. Arabneydi and A. Mahajan, Team Optimal Control of Coupled Subsystems with Mean-Field Sharing, IEEE Conference on Decision and Control (CDC), 2014. (pdf) Best Student Paper Award

18. J. Arabneydi, B. Moshiri, and F. Bahrami, Modeling Gait using CPG (Central Pattern Generator) and Neural Network, Lecture Notes in Computer Science, Springer, International Conference on Biometric ID management and multimodal communication, 2009.

19. J. Arabneydi, B. Moshiri, and F. Bahrami, Gait Phase Detection by OWA (Ordered Weighted Average) Approach, The 2nd International Joint Conference on Computational Engineering, Jul., 2008.

20. J. Arabneydi , Control and Steering of Automatic Mobile Robot through the Cluttered Environment with Obstacles, The 2nd Joint Congress on Fuzzy and Intelligent Systems, Oct. 28-30, 2008.

Book Chapters

1. J. Arabneydi and A. G. Aghdam, Deep Structured Teams in Smart Grids: Large-Scale Resource Allocation Algorithms, accepted for publication in Wiley and Sons, 2021.

Ph.D. Thesis

New Concepts in Team Theory: Mean Field Teams and Reinforcement Learning
Jalal Arabneydi, 2016. (Slides)