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01/26/2023
Multi-Agent Congestion Cost Minimization With Linear Function Approximations
This work considers multiple agents traversing a network from a source n...
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09/16/2021
Learning Noisy Hedonic Games
We consider the learning task of prediction of formation of core stable ...
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09/03/2021
Multi-agent Natural Actor-critic Reinforcement Learning Algorithms
Both single-agent and multi-agent actor-critic algorithms are an importa...
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09/16/2020
Thompson Sampling for Unsupervised Sequential Selection
Thompson Sampling has generated significant interest due to its better e...
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08/14/2020
Optimal Posteriors for Chi-squared Divergence based PAC-Bayesian Bounds and Comparison with KL-divergence based Optimal Posteriors and Cross-Validation Procedure
We investigate optimal posteriors for recently introduced <cit.> chi-squ...
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12/25/2019
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis
In medical diagnosis, physicians predict the state of a patient by check...
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12/14/2019