Jalal Arabneydi

Orcid: 0000-0002-9827-5787

According to our database1, Jalal Arabneydi authored at least 21 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning.
CoRR, 2023

2021
Deep Structured Teams in Arbitrary-Size Linear Networks: Decentralized Estimation, Optimal Control and Separation Principle.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Receding Horizon Control in Deep Structured Teams: A Provably Tractable Large-Scale Approach with Application to Swarm Robotics.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Data Collection Versus Data Estimation: A Fundamental Trade-Off in Dynamic Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Deep Teams: Decentralized Decision Making With Finite and Infinite Number of Agents.
IEEE Trans. Autom. Control., 2020

MinMax Mean-Field Team Approach for a Leader-Follower Network: A Saddle-Point Strategy.
IEEE Control. Syst. Lett., 2020

Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Reinforcement Learning in Linear Quadratic Deep Structured Teams: Global Convergence of Policy Gradient Methods.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Data Collection versus Data Estimation: A Fundamental Trade-off in Dynamic Invariant Networks with Known and Unknown Models.
Dataset, November, 2019

Data Collection versus Data Estimation: A Fundamental Trade-off in Dynamic Invariant Networks with Known and Unknown Models.
Dataset, November, 2019

A Mean-Field Team Approach to Minimize the Spread of Infection in a Network.
Proceedings of the 2019 American Control Conference, 2019

2018
Near-Optimal Design for Fault-Tolerant Systems with Homogeneous Components under Incomplete Information.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Near-Optimal Control Strategy in Leader-Follower Networks: A Case Study for Linear Quadratic Mean-Field Teams.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Optimal Distributed Control for Leader-Follower Networks: A Scalable Design.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

Optimal Dynamic Pricing for Binary Demands in Smart Grids: A Fair and Privacy-Preserving Strategy.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A certainty equivalence result in team-optimal control of mean-field coupled Markov chains.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2015
Team-optimal solution of finite number of mean-field coupled LQG subsystems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Reinforcement learning in decentralized stochastic control systems with partial history sharing.
Proceedings of the American Control Conference, 2015

2014
Team optimal control of coupled subsystems with mean-field sharing.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2009
Modeling Gait Using CPG (Central Pattern Generator) and Neural Network.
Proceedings of the Biometric ID Management and Multimodal Communication, 2009


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