2 papers
cs.MA2025
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau, Jae-Yun Jun, Faïz Benamar +1
Most prior works on communication in multi-agent reinforcement learning have focused on emergent communication, which often results in inefficient and non-interpretable systems. In…
cs.RO2024
Signaling and Social Learning in Swarms of Robots
Leo Cazenille, Maxime Toquebiau, Nicolas Lobato-Dauzier +5
This paper investigates the role of communication in improving coordination within robot swarms, focusing on a paradigm where learning and execution occur simultaneously in a decen…