Chelsea Finn, Stanford: The biggest bottlenecks in robotics and reinforcement learning

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Generally Intelligent

Kanjun Qiu

38 episodes

2 days ago

Conversations with builders and thinkers on AI's technical and societal futures. Made by Imbue.

Technology

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Conversations with builders and thinkers on AI's technical and societal futures. Made by Imbue.

Technology

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Chelsea Finn, Stanford: The biggest bottlenecks in robotics and reinforcement learning

Generally Intelligent

40 minutes 7 seconds

3 years ago

Chelsea Finn, Stanford: The biggest bottlenecks in robotics and reinforcement learning

Chelsea Finn is an Assistant Professor at Stanford and part of the Google Brain team. She's interested in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction at scale. In this episode, we chat about some of the biggest bottlenecks in RL and robotics—including distribution shifts, Sim2Real, and sample efficiency—as well as what makes a great researcher, why she aspires to build a robot that can make cereal, and much more.