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Today we\u2019re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. In our conversation, we focus on his paper \u2018ROMA: A Relational, Object-Model Learning Agent for Sample-Efficient Reinforcement Learning.\u2019 In the paper, Wilka explores the challenge of object interaction tasks, focusing on every day, in-home functions. We discuss how he\u2019s addressing the challenge of \u2018object-interaction\u2019 tasks, the biggest obstacles he\u2019s run into along the way.