Dynamic Weights in Multi-Objective Deep Reinforcement Learning. - Axel Abels; Diederik M. Roijers; Tom Lenaerts; Ann Nowé; Denis Steckelmacher (ICML, 2019)

Collective Decision-Making as a Contextual Multi-armed Bandit Problem. - Axel Abels; Tom Lenaerts; Vito Trianni; Ann Nowé (ICCCI, 2020)

How Expert Confidence Can Improve Collective Decision-Making in Contextual Multi-Armed Bandit Problems. - Axel Abels; Tom Lenaerts; Vito Trianni; Ann Nowé (ICCCI, 2020)

Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making. - Axel Abels; Tom Lenaerts; Vito Trianni; Ann Nowé (ICML, 2023)

Dealing with expert bias in collective decision-making. - Axel Abels; Tom Lenaerts; Vito Trianni; Ann Nowé (Artif. Intell., 2023)

Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News. - Axel Abels; Elias Fernández Domingos; Ann Nowé; Tom Lenaerts (CoRR, 2024)

Collective Intelligence in Decision-Making with Non-Stationary Experts. - Axel Abels; Vito Trianni; Ann Nowé; Tom Lenaerts (J. Artif. Intell. Res., 2025)

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds. - Axel Abels; Tom Lenaerts (CoRR, 2025)

Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout. - Apurva Shah; Axel Abels; Ann Nowé; Tom Lenaerts (CoRR, 2025)