Each month, COVID-19 kills hundreds of thousands of people, reduces global gross
domestic product (GDP) by hundreds of billions of dollars, and generates large …

Globally, there has been a recent surge in 'citizens' assemblies', which are a form of civic
participation in which a panel of randomly selected constituents contributes to questions of …

The goal of fair division is to distribute resources among competing players in a “fair" way.
Envy-freeness is the most extensively studied fairness notion in fair division. Envy-free …

We study the problem of allocating a set of indivisible goods among a set of agents in a fair
and efficient manner. An allocation is said to be fair if it is envy-free up to one good (EF1) …

Marketplaces are often small parts of large markets, and both markets and marketplaces
come in many varieties. Market design seeks to understand what marketplaces must …

We study the problem of distributing a set of indivisible goods among agents with additive
valuations in a fair manner. The fairness notion under consideration is envy-freeness up to …

We consider the problem of allocating indivisible goods fairly among n agents who have
additive and submodular valuations for the goods. Our fairness guarantees are in terms of …

Matching problems under preferences have been studied widely in mathematics, computer
science and economics, starting with the seminal paper by Gale and Shapley (1962). A …

We propose a criterion of approximate incentive compatibility, strategy-proofness in the
large (SP-L), and argue that it is a useful second-best to exact strategy-proofness (SP) for …

We study a bilevel economic system, which we refer to as a Markov exchange economy
(MEE), from the point of view of multi-agent reinforcement learning (MARL). An MEE …