Thompson sampling for linear quadratic mean-field teams. - Mukul Gagrani; Sagar Sudhakara; Aditya Mahajan; Ashutosh Nayyar; Yi Ouyang 002 (CDC, 2021)

Optimal communication and control strategies in a multi-agent MDP problem. - Sagar Sudhakara; Dhruva Kartik; Rahul Jain 002; Ashutosh Nayyar (CoRR, 2021)

A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems. - Mukul Gagrani; Sagar Sudhakara; Aditya Mahajan; Ashutosh Nayyar; Yi Ouyang 002 (CoRR, 2021)

A modified Thompson sampling-based learning algorithm for unknown linear systems. - Mukul Gagrani; Sagar Sudhakara; Aditya Mahajan; Ashutosh Nayyar; Yi Ouyang 002 (CDC, 2022)

Optimal Communication and Control Strategies for a Multi-Agent System in the Presence of an Adversary. - Dhruva Kartik; Sagar Sudhakara; Rahul Jain 002; Ashutosh Nayyar (CDC, 2022)

Optimal Symmetric Strategies in Multi-Agent Systems with Decentralized Information. - Sagar Sudhakara; Ashutosh Nayyar (CDC, 2023)

Symmetric Strategies for Multi-Access IoT Network Optimization: A Common Information Approach. - Sagar Sudhakara (CoRR, 2023)

Scalable Regret for Learning to Control Network-Coupled Subsystems With Unknown Dynamics. - Sagar Sudhakara; Aditya Mahajan; Ashutosh Nayyar; Yi Ouyang 002 (IEEE Trans. Control. Netw. Syst., 2023)

Optimal Communication and Control Strategies in a Cooperative Multiagent MDP Problem. - Sagar Sudhakara; Dhruva Kartik; Rahul Jain 002; Ashutosh Nayyar (IEEE Trans. Autom. Control., 2024)

Symmetric Policy Design for Multi-Agent Dispatch Coordination in Supply Chains. - Sagar Sudhakara (CoRR, 2025)

Coordinated Communication and Inventory Optimization in Multi-Retailer Supply Chains. - Sagar Sudhakara; Yuchong Zhang (CoRR, 2025)