Wilka Carvalho

In a fascinating discussion, Wilka Carvalho, a PhD student at the University of Michigan, delves into his research on AI agents designed for completing household tasks. He explores the challenges of object interaction and how his Relational Object Model Learning Agent (ROMA) tackles these issues. Carvalho emphasizes the importance of representation learning and real-world data in creating effective agents. He also shares insights on achieving high sample efficiency and the methodologies for training robotic agents in complex environments.