Search Results for author: Yulong Xia

Found 2 papers, 1 papers with code

TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification

no code implementations2 Sep 2022 Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong

For object rearrangement, the TarGF can be used in two ways: 1) For model-based planning, we can cast the target gradient into a reference control and output actions with a distributed path planner; 2) For model-free reinforcement learning, the TarGF is not only used for estimating the likelihood-change as a reward but also provides suggested actions in residual policy learning.

Imitation Learning Object +2

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