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Auction learning as a two-player game
Designing an incentive compatible auction that maximizes expected revenu...
06/10/2020 ∙ by Jad Rahme, et al. ∙
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A Permutation-Equivariant Neural Network Architecture For Auction Design
Designing an incentive compatible auction that maximizes expected revenu...
03/02/2020 ∙ by Jad Rahme, et al. ∙
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A Theoretical Connection Between Statistical Physics and Reinforcement Learning
Sequential decision making in the presence of uncertainty and stochastic...
06/24/2019 ∙ by Jad Rahme, et al. ∙
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