From the 1 of 7 linked papers with an AI index.
7 papers
Strategy, Not Payoffs: A Behavioural Embedding of Normal-Form Games
Joshua Caiata, Sreepriya Pulyassary, Xiang Li +1
The paper introduces a lightweight behavioural embedding for normal-form games, using Nash equilibrium entropy and response sensitivity, to predict how fine‑tuning large language m…
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…
The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation
Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson +1
In self-consuming generative models that train on their own outputs, alignment with user preferences becomes a recursive rather than one-time process. We provide the first formal f…
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…
Soft Condorcet Optimization for Ranking of General Agents
Marc Lanctot, Kate Larson, Michael Kaisers +7
Driving progress of AI models and agents requires comparing their performance on standardized benchmarks; for general agents, individual performances must be aggregated across a po…