5 papers
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games
Shiva Navabi, Osonde A. Osoba
We consider a pursuit-evasion game [11] played between two agents, 'Blue' (the pursuer) and 'Red' (the evader), over time steps. Red aims to attack Blue's territory. Blue's obj…
Optimal Dynamic Mechanism Design with Stochastic Supply and Flexible Consumers
Shiva Navabi, Ashutosh Nayyar
We consider the problem of designing an expected-revenue maximizing mechanism for allocating multiple non-perishable goods of varieties to flexible consumers over time step…
Predicting Wireless Channel Features using Neural Networks
Shiva Navabi, Chenwei Wang, Ozgun Y. Bursalioglu +1
We investigate the viability of using machine-learning techniques for estimating user-channel features at a large-array base station (BS). In the scenario we consider, user-pilot b…
Optimal Mechanism Design with Flexible Consumers and Costly Supply
Shiva Navabi, Ashutosh Nayyar
The problem of designing a profit-maximizing, Bayesian incentive compatible and individually rational mechanism with flexible consumers and costly heterogeneous supply is considere…
Optimal Auction Design for Flexible Consumers
Shiva Navabi, Ashutosh Nayyar
We study the problem of designing revenue-maximizing auctions for allocating multiple goods to flexible consumers. In our model, each consumer is interested in a subset of goods kn…