Economic reasoning and artificial intelligence
The field of artificial intelligence (AI) strives to build rational agents capable of perceiving the
world around them and taking actions to advance specified goals. Put another way, AI …
world around them and taking actions to advance specified goals. Put another way, AI …
Open problems in cooperative ai
Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …
ubiquitous and important. They can be found at scales ranging from our daily routines--such …
The ai economist: Improving equality and productivity with ai-driven tax policies
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) …
policies. However, this is hard in practice, due to a lack of appropriate (micro-level) …
Optimal auctions through deep learning
Designing an incentive compatible auction that maximizes expected revenue is an intricate
task. The single-item case was resolved in a seminal piece of work by Myerson in 1981 …
task. The single-item case was resolved in a seminal piece of work by Myerson in 1981 …
Optimal-er auctions through attention
RegretNet is a recent breakthrough in the automated design of revenue-maximizing
auctions. It combines the flexibility of deep learning with the regret-based approach to relax …
auctions. It combines the flexibility of deep learning with the regret-based approach to relax …
[PDF][PDF] Deep learning for revenue-optimal auctions with budgets
The design of revenue-maximizing auctions for settings with private budgets is a hard task.
Even the single-item case is not fully understood, and there are no analytical results for …
Even the single-item case is not fully understood, and there are no analytical results for …
[PDF][PDF] Deep Learning for Multi-Facility Location Mechanism Design.
Abstract Moulin [1980] characterizes the single-facility, deterministic strategy-proof
mechanisms for social choice with single-peaked preferences as the set of generalized …
mechanisms for social choice with single-peaked preferences as the set of generalized …
Breaking the traditional: a survey of algorithmic mechanism design applied to economic and complex environments
Q Chen, X Wang, ZL Jiang, Y Wu, H Li, L Cui… - Neural Computing and …, 2023 - Springer
The mechanism design theory can be applied not only in the economy but also in many
fields, such as politics and military affairs, which has important practical and strategic …
fields, such as politics and military affairs, which has important practical and strategic …
Auction learning as a two-player game
Designing an incentive compatible auction that maximizes expected revenue is a central
problem in Auction Design. While theoretical approaches to the problem have hit some …
problem in Auction Design. While theoretical approaches to the problem have hit some …
A permutation-equivariant neural network architecture for auction design
Designing an incentive compatible auction that maximizes expected revenue is a central
problem in Auction Design. Theoretical approaches to the problem have hit some limits in …
problem in Auction Design. Theoretical approaches to the problem have hit some limits in …