16 citations · 16 across the 1 of their papers we have counts for
5 papers
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu, Xinrun Wang, Runsheng Yu +5
Current value-based multi-agent reinforcement learning methods optimize individual Q values to guide individuals' behaviours via centralized training with decentralized execution (…
Manipulating Elections by Selecting Issues
Jasper Lu, David Kai Zhang, Zinovi Rabinovich +2
Constructive election control considers the problem of an adversary who seeks to sway the outcome of an electoral process in order to ensure that their favored candidate wins. We c…
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…
Lie on the Fly: Strategic Voting in an Iterative Preference Elicitation Process
Lihi Dery, Svetlana Obraztsova, Zinovi Rabinovich +1
A voting center is in charge of collecting and aggregating voter preferences. In an iterative process, the center sends comparison queries to voters, requesting them to submit thei…
Heuristic Voting as Ordinal Dominance Strategies
Omer Lev, Reshef Meir, Svetlana Obraztsova +1
Decision making under uncertainty is a key component of many AI settings, and in particular of voting scenarios where strategic agents are trying to reach a joint decision. The com…