activity
20182022
most citedBudget-feasible Maximum Nash Social Welfare Allocation is Almost Envy-free

4 citations · 9 across the 4 of their papers we have counts for

collaborators

9 papers

cs.LG20221 cited

Admissible Policy Teaching through Reward Design

Kiarash Banihashem, Adish Singla, Jiarui Gan +1

We study reward design strategies for incentivizing a reinforcement learning agent to adopt a policy from a set of admissible policies. The goal of the reward designer is to modify…

cs.GT20214 cited

Approximately Envy-Free Budget-Feasible Allocation

Jiarui Gan, Bo Li, Xiaowei Wu

In the budget-feasible allocation problem, a set of items with varied sizes and values are to be allocated to a group of agents. Each agent has a budget constraint on the total siz…

cs.GT20204 cited

Budget-feasible Maximum Nash Social Welfare Allocation is Almost Envy-free

Xiaowei Wu, Bo Li, Jiarui Gan

The Nash social welfare (NSW) is a well-known social welfare measurement that balances individual utilities and the overall efficiency. In the context of fair allocation of indivis…

cs.GT2019

Swap Stability in Schelling Games on Graphs

Aishwarya Agarwal, Edith Elkind, Jiarui Gan +1

We study a recently introduced class of strategic games that is motivated by and generalizes Schelling's well-known residential segregation model. These games are played on undirec…

cs.GT2019

Protecting Elections by Recounting Ballots

Edith Elkind, Jiarui Gan, Svetlana Obraztsova +2

Complexity of voting manipulation is a prominent topic in computational social choice. In this work, we consider a two-stage voting manipulation scenario. First, a malicious party…

cs.GT2019

Manipulating a Learning Defender and Ways to Counteract

Jiarui Gan, Qingyu Guo, Long Tran-Thanh +2

In Stackelberg security games when information about the attacker's payoffs is uncertain, algorithms have been proposed to learn the optimal defender commitment by interacting with…