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

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This Week in ML & AI - 6/24/16: Dueling Neural Networks at ICML, Plus Training a Robotic Housekeeper

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This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week’s podcast looks at new research on intrinsic motivation for AI systems, a kill-switch for intelligent agents, "knu" chips for machine learning, a screenplay made by a neural net, and more. Show notes and subscribe links at https://cloudpul.se/twiml/4.

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This Week In Machine Learning & AI - 6/3/16: Facebook's DeepText, ML & Art, Artificial Assistants

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This Week In Machine Learning & AI - 5/27/16: The White House on AI & Aggressive Self-Driving Cars

This Week In Machine Learning & AI - 5/27/16: The White House on AI & Aggressive Self-Driving Cars

This Week in Machine Learning & AI brings you the week's most interesting and important stories from the world of machine learning and artificial intelligence. This week's episode explores the White House workshops on AI, human bias in AI and machine learning models, a company working on machine learning for small datasets, plus the latest AI & ML news and a self-driving car that learned how to drive aggressively.

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This Week In Machine Learning & AI - 5/20/16: AI at Google I/O, Amazon's Deep Learning DSSTNE

This Week In Machine Learning & AI - 5/20/16: AI at Google I/O, Amazon's Deep Learning DSSTNE

This Week In Machine Learning & AI - May 20, 2016. Google I/O, deep learning hardware and an AI to save you from conference call hell.

21 Maj 201619min

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