132 citations · 281 across the 18 of their papers we have counts for
23 papers
Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
Yannick Molinghen, Raphaël Avalos, Mark Van Achter +2
We introduce the Laser Learning Environment (LLE), a collaborative multi-agent reinforcement learning environment in which coordination is central. In LLE, agents depend on each ot…
Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning
Youri Coppens, Denis Steckelmacher, Catholijn M. Jonker +1
Today's advanced Reinforcement Learning algorithms produce black-box policies, that are often difficult to interpret and trust for a person. We introduce a policy distilling algori…
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…
Towards a phylogenetic measure to quantify HIV incidence
Pieter Libin, Nassim Versbraegen, Ana B. Abecasis +3
One of the cornerstones in combating the HIV pandemic is being able to assess the current state and evolution of local HIV epidemics. This remains a complex problem, as many HIV in…