Publications

1. Vyas, R., Agarwal, K., Avrachenkov, K., & K., Kavitha, V. (2026). Games with Rational and Herding Players. (under review)     
   [Journal]

2. Agarwal, K., Avrachenkov K., & Borkar V. Two-Timescale Q-Learning for Constrained MDPs. (under preparation)

3. Sultana, R., Agarwal, K., & Kavitha, V. Queue or lounge: strategic design for strategic customers. (under preparation)

1. Agarwal, K., Avrachenkov, K., Vyas, R., & Kavitha, V. (2025). Two choice behavioral game dynamics with myopic-rational and herding players. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 9(1), 1-26. (presented at SIGMETRICS 2025).
   [Journal + Conference]

2. Agarwal, K., Avrachenkov, K., Kavitha, V., & Vyas, R. (2025, March). Balancing rationality and social influence: Alpha-rational Nash equilibrium in games with herding. In International Conference on Game Theory for Networks (pp. 91-107). Cham: Springer Nature Switzerland.
   [Conference]

3. Agarwal, K., & Altman, E. (2024, December). Games among selfish and team stations in polling systems. In EAI International Conference on Performance Evaluation Methodologies and Tools (pp. 26-46). Cham: Springer Nature Switzerland.
   [Conference]

4. Agarwal, K., & Kavitha, V. (2023, May). Single-out fake posts: participation game and its design. In 2023 American Control Conference (ACC) (pp. 2344-2350). IEEE.
   [Conference]

5. Singh, V., Agarwal, K., Shubham, & Kavitha, V. (2021). Evolutionary vaccination games with premature vaccines to combat ongoing deadly pandemic. In Performance Evaluation Methodologies and Tools: 14th EAI International Conference, VALUETOOLS 2021 Proceedings (pp. 185-206). Springer International Publishing.
   [Conference]

6. Agarwal, K., Maille, P., & Tuffin, B. (2021, May). Impact of heterogeneous neutrality rules with competitive content providers. In 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 417-423). IEEE. 2021.
   [Conference]
   
   🏆 Work done during the research internship with Prof. Bruno Tuffin at Inria, France, supported by the Charpak Lab Scholarship, French Institute in India

1. Agarwal, K., & Kavitha, V. Total-current population-dependent branching processes: analysis via stochastic approximation. Stochastics (2024): 21-54.
   [Journal]

2. Agarwal, K., & Kavitha, V. (2023). Robust fake-post detection against real-coloring adversaries. Performance Evaluation, 162, p. 102372.
   [Journal + Conference]
   
   🏆 Best Student Paper Award, IFIP WG 7.3 Performance 2023
   
   

3. Agarwal, K., & Kavitha, V. (2022, December). Saturated total-population dependent branching process and viral markets. In 2022 IEEE 61st Conference on Decision and Control (CDC) (pp. 382-387). IEEE.
   [Conference]

4. Agarwal, K., & Kavitha, V. (2021, June). Co-virality of competing content over OSNs?. In 2021 IFIP Networking Conference (IFIP Networking) (pp. 1-9). IEEE.
   [Conference]

5. Kapsikar, S., Saha, I., Agarwal, K., Kavitha, V., & Zhu, Q. (2020). Controlling fake news by collective tagging: A branching process analysis. IEEE Control Systems Letters, 5(6), 2108-2113.
   [Letter]

Limiting behaviour of Branching Processes and Online Social Networks [thesis]

🏆 Naik and Rastogi Award for Excellence in Ph.D. Research, Indian Institute of Technology Bombay, India, 2022-24