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05/21/2023
Markov α-Potential Games: Equilibrium Approximation and Regret Analysis
This paper proposes a new framework to study multi-agent interaction in ...
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05/02/2023
Representation Learning via Manifold Flattening and Reconstruction
This work proposes an algorithm for explicitly constructing a pair of ne...
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12/06/2022
Emerging Technology and Policy Co-Design Considerations for the Safe and Transparent Use of Small Unmanned Aerial Systems
The rapid technological growth observed in the sUAS sector over the past...
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11/29/2022
Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test
Causal phenomena associated with rare events occur across a wide range o...
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10/21/2022
Competing Bandits in Time Varying Matching Markets
We study the problem of online learning in two-sided non-stationary matc...
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08/13/2022
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Recent advances in the reinforcement learning (RL) literature have enabl...
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06/06/2022
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
We study the problem of online learning in competitive settings in the c...
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05/29/2022
Independent and Decentralized Learning in Markov Potential Games
We propose a multi-agent reinforcement learning dynamics, and analyze it...
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04/12/2022
Inducing Social Optimality in Games via Adaptive Incentive Design
How can a social planner adaptively incentivize selfish agents who are l...
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10/17/2021
Dynamic Tolling for Inducing Socially Optimal Traffic Loads
How to design tolls that induce socially optimal traffic loads with dyna...
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03/22/2018
Residual Networks: Lyapunov Stability and Convex Decomposition
While training error of most deep neural networks degrades as the depth ...
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12/23/2014
Approximate Subspace-Sparse Recovery with Corrupted Data via Constrained â„“_1-Minimization
High-dimensional data often lie in low-dimensional subspaces correspondi...
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03/29/2005