oopsie-data: open dataset of failure trajectories for world models and reward
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Chris Paxton discusses how robots primarily learn from good data, while humans benefit from learning from poor data, enabling faster task adaptation. The post introduces oopsie-data, an open dataset of failure trajectories, which is crucial for research in world models and reward function learning in robotics.
From Chris Paxton — X Robotics
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- Chris Paxton — X RoboticsRobots Learn from Good Data, but Humans Benefit from Terrible Data Too
Chris Paxton discusses how robots primarily learn from good data, while humans benefit from learning from poor data, enabling faster task adaptation. The post introduces oopsie-data, an open dataset of failure trajectories, which is crucial for research in world models and reward function learning in robotics.
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