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b'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.'