ODE Policy learns robot action dynamics rather than discrete actions
After one epoch it reports 5.9 times flow matching's success and the highest rate on 14 real-world robot tasks.
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After one epoch it reports 5.9 times flow matching's success and the highest rate on 14 real-world robot tasks.
A response-theory probe tests whether learned chaotic simulators react correctly to forcing on Lorenz-63.
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