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By Igor Melnyk Arxiv Papers
[QA] Body Transformer: Leveraging Robot Embodiment for Policy Learning

[QA] Body Transformer: Leveraging Robot Embodiment for Policy Learning

8/13/2024 · 07:59
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Arxiv Papers Episode of Arxiv Papers

Description of [QA] Body Transformer: Leveraging Robot Embodiment for Policy Learning







The Body Transformer (BoT) enhances robot learning by leveraging robot embodiment, outperforming vanilla transformers and multilayer perceptrons in task completion and efficiency. Open-source code is available.




https://arxiv.org/abs//2408.06316




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