From the 1 of 7 linked papers with an AI index.
4 papers · 1 filter
Your Recourse, My Loss? Algorithmic Recourse under Shared Constraints
Zahra Khotanlou, Kate Larson, Amir-Hossein Karimi
Decision makers are increasingly relying on machine learning in sensitive situations. Algorithmic recourse aims to provide individuals with actionable and minimally costly steps to…
Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms
Marc Lanctot, Kate Larson, Ian Gemp +1
As intelligent agents become more generally-capable, i.e. able to master a wide variety of tasks, the complexity and cost of properly evaluating them rises significantly. Tasks tha…
Evaluating Agents using Social Choice Theory
Marc Lanctot, Kate Larson, Yoram Bachrach +6
We argue that many general evaluation problems can be viewed through the lens of voting theory. Each task is interpreted as a separate voter, which requires only ordinal rankings o…
Jackpot! Alignment as a Maximal Lottery
Roberto-Rafael Maura-Rivero, Marc Lanctot, Francesco Visin +1
Reinforcement Learning from Human Feedback (RLHF), the standard for aligning Large Language Models (LLMs) with human values, is known to fail to satisfy properties that are intuiti…