Carlo d’Eramo
Junior Research Group Leader
Carlo D’Eramo conducts research revolving around the problem of how agents can efficiently acquire expert skills that account for the complexity of the real world. To answer this question, he is investigating lightweight methods to obtain adaptive autonomous agents, focusing on several RL topics including multi-task, curriculum, adversarial, options, and multi-agent RL.