Author

Eduardo Sebastián

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#machine learning May 2026

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning

This work introduces a framework that decouples agent identity from behavior, capturing a continuous manifold from which agents instantiate their behaviors in response to events, and proves that this construction ensures that diversity does not interfere with reward maximization by design.

Hannes Büchi, Manon Flageat, Eduardo Sebastián et al. · arXiv.org · 1 citation

Preprint Oct 2026

Weakly Supervised Discovery of Motion Styles for Compositional Robot Control

When a robot possesses more degrees of freedom than a task requires, multiple trajectories can achieve the same objective using distinct motion styles. Compositional robot control aims to preserve a selected style while simultaneously executing an independent task command, effectively balancing these potentially compet...

Heedo Woo, Antonio Marino, Eduardo Sebastián et al. · 0 citations