12 citations · 19 across the 7 of their papers we have counts for
7 papers
Measuring Goal-Directedness
Matt MacDermott, James Fox, Francesco Belardinelli +1
We define maximum entropy goal-directedness (MEG), a formal measure of goal-directedness in causal models and Markov decision processes, and give algorithms for computing it. Measu…
Fixed-budget and Multiple-issue Quadratic Voting
Laura Georgescu, James Fox, Anna Gautier +1
Quadratic Voting (QV) is a social choice mechanism that addresses the "tyranny of the majority" of one-person-one-vote mechanisms. Agents express not only their preference ordering…
Characterising Interventions in Causal Games
Manuj Mishra, James Fox, Michael Wooldridge
Causal games are probabilistic graphical models that enable causal queries to be answered in multi-agent settings. They extend causal Bayesian networks by specifying decision and u…
On Imperfect Recall in Multi-Agent Influence Diagrams
James Fox, Matt MacDermott, Lewis Hammond +3
Multi-agent influence diagrams (MAIDs) are a popular game-theoretic model based on Bayesian networks. In some settings, MAIDs offer significant advantages over extensive-form game…
Reasoning about Causality in Games
Lewis Hammond, James Fox, Tom Everitt +3
Causal reasoning and game-theoretic reasoning are fundamental topics in artificial intelligence, among many other disciplines: this paper is concerned with their intersection. Desp…
Learning Task Automata for Reinforcement Learning using Hidden Markov Models
Alessandro Abate, Yousif Almulla, James Fox +2
Training reinforcement learning (RL) agents using scalar reward signals is often infeasible when an environment has sparse and non-Markovian rewards. Moreover, handcrafting these r…
Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice
Lewis Hammond, James Fox, Tom Everitt +2
Multi-agent influence diagrams (MAIDs) are a popular form of graphical model that, for certain classes of games, have been shown to offer key complexity and explainability advantag…