Chinmay Maheshwari

43 papers A* 1A 1B 1C 1Journal 30Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Game-to-Real Gap: Quantifying the Effect of Model Misspecification in Network Games. CoRR Bryce L. Ferguson, Chinmay Maheshwari, Manxi Wu, Shankar Sastry
2026	J	`jnl`	Markov $\alpha$-Potential Games. IEEE Trans. Autom. Control. Xin Guo, Xinyu Li, Chinmay Maheshwari, S. Shankar Sastry, Manxi Wu
2026	J	`jnl`	NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning. CoRR Addison Kalanther, Sanika Bharvirkar, Shankar Sastry, Chinmay Maheshwari
2025	J	`jnl`	Coordinated Autonomous Drones for Human-Centered Fire Evacuation in Partially Observable Urban Environments. CoRR Maria G. Mendoza, Addison Kalanther, Daniel Bostwick, Emma Stephan, Chinmay Maheshwari, Shankar Sastry
2025	J	`jnl`	EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization. CoRR Chinmay Maheshwari, Chinmay Pimpalkhare, Debasish Chatterjee
2025	J	`jnl`	Evader-Agnostic Team-Based Pursuit Strategies in Partially-Observable Environments. CoRR Addison Kalanther, Daniel Bostwick, Chinmay Maheshwari, Shankar Sastry
2025	J	`jnl`	Independent and Decentralized Learning in Markov Potential Games. IEEE Trans. Autom. Control. Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry
2025	—	`conf`	α-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function. L4DC Dvij Kalaria, Chinmay Maheshwari, Shankar Sastry
2024	J	`jnl`	Adaptive Incentive Design with Learning Agents. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
2024	J	`jnl`	Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry
2024	J	`jnl`	Convergence of Decentralized Actor-Critic Algorithm in General-Sum Markov Games. IEEE Control. Syst. Lett. Chinmay Maheshwari, Manxi Wu, S. Shankar Sastry
2024	J	`jnl`	Decentralized Learning in General-sum Markov Games. CoRR Chinmay Maheshwari, Manxi Wu, Shankar Sastry
2024	—	`conf`	Follower Agnostic Learning in Stackelberg Games. CDC Chinmay Maheshwari, James Cheng, Shankar Sastry, Lillian J. Ratliff, Eric Mazumdar
2024	—	`conf`	Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach. CDC Pan-Yang Su, Chinmay Maheshwari, Victoria Marie Tuck, Shankar Sastry
2024	J	`jnl`	Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach. CoRR Pan-Yang Su, Chinmay Maheshwari, Victoria Tuck, Shankar Sastry
2024	J	`jnl`	Privacy Preserving Mechanisms for Coordinating Airspace Usage in Advanced Air Mobility. CoRR Chinmay Maheshwari, Maria G. Mendoza, Victoria Marie Tuck, Pan-Yang Su, Victor L. Qin, Sanjit A. Seshia, Hamsa Balakrishnan, S. Shankar Sastry
2024	J	`jnl`	Real-Time Algorithms for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function. CoRR Dvij Kalaria, Chinmay Maheshwari, S. Shankar Sastry
2024	—	`conf`	Understanding the Impact of Coalitions between EV Charging Stations. CDC Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari, Anil Aswani, Shankar Sastry
2024	J	`jnl`	Understanding the Impact of Coalitions between EV Charging Stations. CoRR Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari, Anil Aswani, S. Shankar Sastry
2023	—	`conf`	Arc-Based Traffic Assignment: Equilibrium Characterization and Learning. CDC Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
2023	J	`jnl`	Arc-based Traffic Assignment: Equilibrium Characterization and Learning. CoRR Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, S. Shankar Sastry
2023	—	`conf`	Competing Bandits in Time Varying Matching Markets. L4DC Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar S. Sastry
2023	J	`jnl`	Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games. CoRR Chinmay Maheshwari, S. Shankar Sastry, Lillian J. Ratliff, Eric Mazumdar
2023	—	`conf`	Dynamic Tolling in Arc-based Traffic Assignment Models. Allerton Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
2023	J	`jnl`	Dynamic Tolling in Arc-based Traffic Assignment Models. CoRR Chih-Yuan Chiu, Chinmay Maheshwari, Pan-Yang Su, Shankar Sastry
2023	J	`jnl`	Markov α-Potential Games: Equilibrium Approximation and Regret Analysis. CoRR Xin Guo, Xinyu Li, Chinmay Maheshwari, Shankar Sastry, Manxi Wu
2023	B	`conf`	Online Learning for Traffic Navigation in Congested Networks. ALT Sreenivas Gollapudi, Kostas Kollias, Chinmay Maheshwari, Manxi Wu
2022	J	`jnl`	Competing Bandits in Time Varying Matching Markets. CoRR Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar Sastry
2022	A*	`conf`	Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets. NeurIPS Chinmay Maheshwari, Shankar Sastry, Eric Mazumdar
2022	J	`jnl`	Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets. CoRR Chinmay Maheshwari, Eric Mazumdar, Shankar Sastry
2022	C	`conf`	Dynamic Tolling for Inducing Socially Optimal Traffic Loads. ACC Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
2022	J	`jnl`	Independent and Decentralized Learning in Markov Potential Games. CoRR Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry
2022	—	`conf`	Inducing Social Optimality in Games via Adaptive Incentive Design. CDC Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
2022	J	`jnl`	Inducing Social Optimality in Games via Adaptive Incentive Design. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry
2022	A	`conf`	Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization. AISTATS Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, Shankar Sastry, Lillian J. Ratliff
2021	J	`jnl`	Dynamic Tolling for Inducing Socially Optimal Traffic Loads. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry
2021	J	`jnl`	Optimal Multiplexing of Discrete-Time Constrained Control Systems on Matrix Lie Groups. IEEE Trans. Autom. Control. Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
2021	J	`jnl`	Stabilization under round-robin scheduling of control inputs in nonlinear systems. Autom. Chinmay Maheshwari, Sukumar Srikant, Debasish Chatterjee
2021	J	`jnl`	Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization. CoRR Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff
2019	J	`jnl`	On optimal multiplexing of an ensemble of discrete-time constrained control systems on matrix Lie groups. CoRR Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
2019	—	`conf`	Round-robin temporal scheduling of exponentially stabilizing controllers. ASCC Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
2019	J	`jnl`	Stabilization under round robin scheduling of control inputs in nonlinear systems. CoRR Chinmay Maheshwari, Srikant Sukumar, Debasish Chatterjee
2018	J	`jnl`	Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode. CoRR Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan