This week's #PaperILike is "Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter" (Huang et al., ICRA 2022). Impressive results on a difficult and subtle problem, with a nice combo of planning + learning. PDF: arxiv.org/abs/2202.01426
arxiv.orgInterleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in ClutterIn this study, working with the task of object retrieval in clutter, we have developed a robot learning framework in which Monte Carlo Tree Search (MCTS) is first applied to enable a Deep Neural Netwo...
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