Jalal Arabneydi

28 papers C 3Journal 13Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs. CoRR Jalal Arabneydi, Md. Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Matthew E. Taylor, Matthew Guzdial, Antoine Fagette, Younes Zerouali
2025	J	`jnl`	Human-AI collaboration in real-world complex environment with reinforcement learning. Neural Comput. Appl. Md. Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew E. Taylor
2023	J	`jnl`	Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning. CoRR Md. Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew E. Taylor
2021	—	`conf`	Deep Structured Teams in Arbitrary-Size Linear Networks: Decentralized Estimation, Optimal Control and Separation Principle. CDC Jalal Arabneydi, Amir G. Aghdam
2021	J	`jnl`	Deep Structured Teams in Arbitrary-Size Linear Networks: Decentralized Estimation, Optimal Control and Separation Principle. CoRR Jalal Arabneydi, Amir G. Aghdam
2021	—	`conf`	Receding Horizon Control in Deep Structured Teams: A Provably Tractable Large-Scale Approach with Application to Swarm Robotics. CDC Jalal Arabneydi, Amir G. Aghdam
2021	J	`jnl`	Receding Horizon Control in Deep Structured Teams: A Provably Tractable Large-Scale Approach with Application to Swarm Robotics. CoRR Jalal Arabneydi, Amir G. Aghdam
2020	J	`jnl`	A Mean-Field Team Approach to Minimize the Spread of Infection in a Network. CoRR Jalal Arabneydi, Amir G. Aghdam
2020	J	`jnl`	Data Collection Versus Data Estimation: A Fundamental Trade-Off in Dynamic Networks. IEEE Trans. Netw. Sci. Eng. Jalal Arabneydi, Amir G. Aghdam
2020	J	`jnl`	Deep Teams: Decentralized Decision Making With Finite and Infinite Number of Agents. IEEE Trans. Autom. Control. Jalal Arabneydi, Amir G. Aghdam
2020	J	`jnl`	MinMax Mean-Field Team Approach for a Leader-Follower Network: A Saddle-Point Strategy. IEEE Control. Syst. Lett. Mohammad M. Baharloo, Jalal Arabneydi, Amir G. Aghdam
2020	J	`jnl`	Optimal Distributed Control for Leader-Follower Networks: A Scalable Design. CoRR Jalal Arabneydi, Mohammad M. Baharloo, Amir G. Aghdam
2020	—	`conf`	Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features. CCTA Jalal Arabneydi, Masoud Roudneshin, Amir G. Aghdam
2020	J	`jnl`	Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features. CoRR Jalal Arabneydi, Masoud Roudneshin, Amir G. Aghdam
2020	—	`conf`	Reinforcement Learning in Linear Quadratic Deep Structured Teams: Global Convergence of Policy Gradient Methods. CDC Vida Fathi, Jalal Arabneydi, Amir G. Aghdam
2020	J	`jnl`	Reinforcement Learning in Linear Quadratic Deep Structured Teams: Global Convergence of Policy Gradient Methods. CoRR Vida Fathi, Jalal Arabneydi, Amir G. Aghdam
2020	—	`conf`	Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. CDC Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam
2020	J	`jnl`	Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. CoRR Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam
2019	C	`conf`	A Mean-Field Team Approach to Minimize the Spread of Infection in a Network. ACC Jalal Arabneydi, Amir G. Aghdam
2018	—	`conf`	Near-Optimal Control Strategy in Leader-Follower Networks: A Case Study for Linear Quadratic Mean-Field Teams. CDC Mohammad M. Baharloo, Jalal Arabneydi, Amir G. Aghdam
2018	—	`conf`	Near-Optimal Design for Fault-Tolerant Systems with Homogeneous Components under Incomplete Information. MWSCAS Jalal Arabneydi, Amir G. Aghdam
2018	—	`conf`	Optimal Distributed Control for Leader-Follower Networks: A Scalable Design. CCECE Jalal Arabneydi, Mohammad M. Baharloo, Amir G. Aghdam
2018	C	`conf`	Optimal Dynamic Pricing for Binary Demands in Smart Grids: A Fair and Privacy-Preserving Strategy. ACC Jalal Arabneydi, Amir G. Aghdam
2017	—	`conf`	A certainty equivalence result in team-optimal control of mean-field coupled Markov chains. CDC Jalal Arabneydi, Amir G. Aghdam
2015	C	`conf`	Reinforcement learning in decentralized stochastic control systems with partial history sharing. ACC Jalal Arabneydi, Aditya Mahajan
2015	—	`conf`	Team-optimal solution of finite number of mean-field coupled LQG subsystems. CDC Jalal Arabneydi, Aditya Mahajan
2014	—	`conf`	Team optimal control of coupled subsystems with mean-field sharing. CDC Jalal Arabneydi, Aditya Mahajan
2009	—	`conf`	Modeling Gait Using CPG (Central Pattern Generator) and Neural Network. COST 2101/2102 Conference Jalal Arabneydi, Behzad Moshiri, Fariba Bahrami