Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting
Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting explores A novel method for conservative offline robot policy learning that improves adaptation to heterogeneous datasets.. Commercial viability score: 4/10 in Robotics.
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