3 code implementations • 20 Sep 2018 • Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher
In the dynamic weights setting the relative importance changes over time and specialized algorithms that deal with such change, such as a tabular Reinforcement Learning (RL) algorithm by Natarajan and Tadepalli (2005), are required.
Multi-Objective Reinforcement Learning reinforcement-learning
no code implementations • 26 Jul 2019 • The Anh Han, Luis Moniz Pereira, Francisco C. Santos, Tom Lenaerts
As a consequence, different actors are urging to consider both the normative and social impact of these technological advancements.
no code implementations • 1 Oct 2020 • The Anh Han, Luis Moniz Pereira, Tom Lenaerts, Francisco C. Santos
The field of Artificial Intelligence (AI) is going through a period of great expectations, introducing a certain level of anxiety in research, business and also policy.
no code implementations • 30 Dec 2020 • Theodor Cimpeanu, Francisco C. Santos, Luis Moniz Pereira, Tom Lenaerts, The Anh Han
Regulation of advanced technologies such as Artificial Intelligence (AI) has become increasingly important, given the associated risks and apparent ethical issues.
no code implementations • 8 Apr 2021 • The Anh Han, Tom Lenaerts, Francisco C. Santos, Luis Moniz Pereira
With the introduction of Artificial Intelligence (AI) and related technologies in our daily lives, fear and anxiety about their misuse as well as the hidden biases in their creation have led to a demand for regulation to address such issues.
1 code implementation • 25 Jun 2021 • Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
Quite some real-world problems can be formulated as decision-making problems wherein one must repeatedly make an appropriate choice from a set of alternatives.
no code implementations • 19 Apr 2023 • Andrea Aler Tubella, Dimitri Coelho Mollo, Adam Dahlgren Lindström, Hannah Devinney, Virginia Dignum, Petter Ericson, Anna Jonsson, Timotheus Kampik, Tom Lenaerts, Julian Alfredo Mendez, Juan Carlos Nieves
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.
no code implementations • 2 May 2023 • Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
Experts advising decision-makers are likely to display expertise which varies as a function of the problem instance.
1 code implementation • 11 Mar 2024 • Axel Abels, Elias Fernandez Domingos, Ann Nowé, Tom Lenaerts
Individual and social biases undermine the effectiveness of human advisers by inducing judgment errors which can disadvantage protected groups.
1 code implementation • 4 Apr 2024 • Yannick Molinghen, Raphaël Avalos, Mark Van Achter, Ann Nowé, Tom Lenaerts
We introduce the Laser Learning Environment (LLE), a collaborative multi-agent reinforcement learning environment in which coordination is central.