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Found 4 papers, 3 papers with code
Train Offline, Test Online: A Real Robot Learning Benchmark
Three challenges limit the progress of robot learning research: robots are expensive (few labs can participate), everyone uses different robots (findings do not generalize across labs), and we lack internet-scale robotics data.
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Given a weak base-policy trained by offline imitation of demonstrations, FISH computes rewards that correspond to the "match" between the robot's behavior and the demonstrations.
The Surprising Effectiveness of Representation Learning for Visual Imitation
One reason such complexities arise is because standard visual imitation frameworks try to solve two coupled problems at once: learning a succinct but good representation from the diverse visual data, while simultaneously learning to associate the demonstrated actions with such representations.
Playful Interactions for Representation Learning
In this work, we propose to use playful interactions in a self-supervised manner to learn visual representations for downstream tasks.
