Project led by @marceltornev, @anubhamahajan01, @AbhijnyaBhat

Paper: https://t.co/2dyFJpxwU7 Code & videos: https://t.co/KBAPSbr6a8

Check out Marcel’s thread for more details! https://t.co/tlUBH8VJqY

@marceltornev: We should stop optimizing robot policies against a single overall reward. Trajectories differ along many axes, such as speed, precision, and subtask completion, and one can be better on some while worse on others. If we collapse all of that into a single overall axis we lose this structure making the reward ambiguous and harder to optimize.

Blog: https://t.co/WXWue03RVq Paper: https://t.co/AvJ904Xt9S