The ai economist: Improving equality and productivity with ai-driven tax policies

S Zheng, A Trott, S Srinivasa, N Naik… - arXiv preprint arXiv …, 2020 - arxiv.org
Tackling real-world socio-economic challenges requires designing and testing economic
policies. However, this is hard in practice, due to a lack of appropriate (micro-level) …

Learning equilibria in symmetric auction games using artificial neural networks

M Bichler, M Fichtl, S Heidekrüger, N Kohring… - Nature machine …, 2021 - nature.com
Auction theory is of central importance in the study of markets. Unfortunately, we do not
know equilibrium bidding strategies for most auction games. For realistic markets with …

Discovering auctions: Contributions of Paul Milgrom and Robert Wilson

A Teytelboym, S Li, SD Kominers… - The Scandinavian …, 2021 - Wiley Online Library
Abstract The 2020 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred
Nobel was awarded to Paul R. Milgrom and Robert B. Wilson for “improvements to auction …

Core-selecting auctions with incomplete information

LM Ausubel, O Baranov - International Journal of Game Theory, 2020 - Springer
Core-selecting auctions were proposed as alternatives to the Vickrey–Clarke–Groves (VCG)
mechanism for environments with complementarities. In this paper, we consider a simple …

Natural capital market design

A Teytelboym - Oxford Review of Economic Policy, 2019 - academic.oup.com
Renewable natural capital—terrestrial and marine ecosystems, fisheries, biodiversity, and
fresh water—is in decline around the world, affecting the livelihoods of millions of people …

Learning to mitigate ai collusion on economic platforms

G Brero, E Mibuari, N Lepore… - Advances in Neural …, 2022 - proceedings.neurips.cc
Algorithmic pricing on online e-commerce platforms raises the concern of tacit collusion,
where reinforcement learning algorithms learn to set collusive prices in a decentralized …

Reinforcement learning of sequential price mechanisms

G Brero, A Eden, M Gerstgrasser, D Parkes… - Proceedings of the …, 2021 - ojs.aaai.org
We introduce the use of reinforcement learning for indirect mechanisms, working with the
existing class of sequential price mechanisms, which generalizes both serial dictatorship …

Computing Bayes-Nash equilibria in combinatorial auctions with verification

V Bosshard, B Bünz, B Lubin, S Seuken - Journal of Artificial Intelligence …, 2020 - jair.org
We present a new algorithm for computing pure-strategy ε-Bayes-Nash equilibria (ε-BNEs)
in combinatorial auctions. The main innovation of our algorithm is to separate the algorithm's …

Computing perfect Bayesian equilibria in sequential auctions

V Thoma, V Bosshard, S Seuken - arXiv preprint arXiv:2312.04516, 2023 - arxiv.org
We present a best-response based algorithm for computing verifiable $\varepsilon $-perfect
Bayesian equilibria for sequential auctions with combinatorial bidding spaces and …

Core-selecting mechanisms in electricity markets

O Karaca, M Kamgarpour - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
Due to its theoretical virtues, several recent works propose the use of the incentive-
compatible Vickrey-Clarke-Groves (VCG) mechanism for electricity markets. Coalitions of …