27 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZurichCH4 papers
- University of WashingtonUS3 papers
- Vrije Universiteit BrusselBE3 papers
- Ghent UniversityBE2 papers
- Harvard UniversityUS2 papers
- Hungarian Academy of SciencesHU2 papers
- HUN-REN Alfréd Rényi Institute of MathematicsHU2 papers
- University of BergenNO2 papers
- University of PannoniaHU2 papers
- Alibaba Group (China)CN1 paper
- Cardiff UniversityGB1 paper
- Central Washington UniversityUS1 paper
4 papers · 1 filter
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi +15
Real-world decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcemen…
EasyRL: A Simple and Extensible Reinforcement Learning Framework
Neil Hulbert, Sam Spillers, Brandon Francis +7
In recent years, Reinforcement Learning (RL), has become a popular field of study as well as a tool for enterprises working on cutting-edge artificial intelligence research. To thi…
Solving stable matching problems using answer set programming
Sofie De Clercq, Steven Schockaert, Martine De Cock +1
Since the introduction of the stable marriage problem (SMP) by Gale and Shapley (1962), several variants and extensions have been investigated. While this variety is useful to wide…
Possibilistic Answer Set Programming Revisited
Kim Bauters, Steven Schockaert, Martine De Cock +1
Possibilistic answer set programming (PASP) extends answer set programming (ASP) by attaching to each rule a degree of certainty. While such an extension is important from an appli…