6 citations · 16 across the 25 of their papers we have counts for
4 papers · 1 filter
Competing Bandits in Time Varying Matching Markets
Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar +1
We study the problem of online learning in two-sided non-stationary matching markets, where the objective is to converge to a stable match. In particular, we consider the setting w…
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
Chinmay Maheshwari, Eric Mazumdar, Shankar Sastry
We study the problem of online learning in competitive settings in the context of two-sided matching markets. In particular, one side of the market, the agents, must learn about th…
Independent and Decentralized Learning in Markov Potential Games
Chinmay Maheshwari, Manxi Wu, Druv Pai +1
We study a multi-agent reinforcement learning dynamics, and analyze its asymptotic behavior in infinite-horizon discounted Markov potential games. We focus on the independent and d…
Inducing Social Optimality in Games via Adaptive Incentive Design
Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu +1
How can a social planner adaptively incentivize selfish agents who are learning in a strategic environment to induce a socially optimal outcome in the long run? We propose a two-ti…