6 citations · 21 across the 9 of their papers we have counts for
3 papers · 1 filter
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
Roxana Rădulescu, Timothy Verstraeten, Yijie Zhang +3
Many real-world multi-agent interactions consider multiple distinct criteria, i.e. the payoffs are multi-objective in nature. However, the same multi-objective payoff vector may le…
A utility-based analysis of equilibria in multi-objective normal form games
Roxana Rădulescu, Patrick Mannion, Yijie Zhang +2
In multi-objective multi-agent systems (MOMAS), agents explicitly consider the possible tradeoffs between conflicting objective functions. We argue that compromises between competi…
An interpretable semi-supervised classifier using two different strategies for amended self-labeling
Isel Grau, Dipankar Sengupta, Maria M. Garcia Lorenzo +1
In the context of some machine learning applications, obtaining data instances is a relatively easy process but labeling them could become quite expensive or tedious. Such scenario…