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time is up

RL + Robotics Panel

Ask experts questions about RL + Robotics. Panelists: George Konidaris (Brown), Jan Peters (TU Darmstadt), Martin Riedmiller (Deepmind), Angela Schoellig (U. of Toronto), Rose Yu (UCSD); Chair/Moderator: Rupam Mahmood. Panel discussion time: 13:00-14:00, July 23 EDT (Boston time). https://sites.google.com/view/RL4RealLife


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What’s the next research direction you are most excited about?
 
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Richard Perkins
What are some advices you have for a stundet looking to pursue graduate studies at the intersection of Robotics and RL?
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Where does deep RL fit into the robotics pipeline? How much of a part will it play in the solution to hard robotics problems in the near future?
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A lot of commercial robotics pursuits have been systematically failing: home robotics, self driving cars and most recently OpenAI. What’s the reason for this? How can this change in the future?
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What are some of the RL+robotics or real-time system research, in general, you worked on within the last five years that you are most excited about?
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What are some of the RL+robotics or real-time system research, in general, of others within the last five years that you found exciting inspiring, or have influenced your work?
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What are the barriers to achieving real-time reinforcement learning or adaptive control in robotics? How much real-time learning is happening in current research? What should we do to focus more on it?
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What do you think are some of the most important problems in robot learning and generally, robotics research? What do you think we should focus on?
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