Manel Rodriguez-Soto — accepted AI-conference papers

2024

An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning

Manel Rodriguez-Soto, Juan Antonio Rodriguez Aguilar, Maite López-Sánchez

NeurIPS 2024poster

Multi-objective reinforcement learning (MORL) is an excellent framework for multi-objective sequential decision-making. MORL employs a utility function to aggregate multiple objectives into one that expresses a user's preferences. However, MORL still misses two crucial theoretical analyses of the pr…

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2021

Multi-Objective Reinforcement Learning for Designing Ethical Environments

Manel Rodriguez-Soto, Maite Lopez-Sanchez, Juan A. Rodriguez Aguilar

IJCAI 2021poster

AI research is being challenged with ensuring that autonomous agents learn to behave ethically, namely in alignment with moral values. A common approach, founded on the exploitation of Reinforcement Learning techniques, is to design environments that incentivise agents to behave ethically. However,…

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