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Website for ICRA 2024 paper Rank2Reward: Learning Shaped Reward Functions from Passive Video.
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2026-03-01 20:50:19
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Rank2Reward: Learning Shaped Reward Functions from Passive Video Rank2Reward: Learning Shaped Reward Functions from Passive Video Daniel Yang 1 , Davin Tjia 2 , Jacob Berg 2 , Dima Damen 3 , Pulkit Agrawal 1 , Abhishek Gupta 2 1 MIT CSAIL , 2 University of Washington , 3 University of Bristol Paper arXiv Video Code Rank2Reward learns well-shaped and calibrated reward functions from video demonstrations that enable effective policy optimization. Abstract Teaching robots novel skills with demonstrations via human-in-the-loop data collection techniques like kinesthetic teaching or teleoperation puts a heavy burden on human supervisors. In contrast to this paradigm, it is often significantly easier to provide raw, action-free visual data of tasks being performed. Moreover, this data can even be mined from video datasets or the web. Ideally, this data can serve to guide robot learning for ...
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