TACO (Topics in Algorithmic COde generation dataset) is a dataset focused on algorithmic code generation, designed to provide a more challenging training dataset and evaluation benchmark for the code ...
This repo contains the implementation of ACT, Diffusion Policy and VINN, together with 2 simulated environments: Transfer Cube and Bimanual Insertion. You can train ...
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