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  license: mit
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+ # DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation
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+ Official implementation of the RSS 2026 paper:
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+ **DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation**
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+ > Hanxiang Ren, Pei Zhou, Xunzhe Zhou, and Yanchao Yang
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+ > Robotics: Science and Systems (RSS), 2026
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+ ## Overview
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+ DISC is a policy-generation framework that decouples high-level language instructions from state-conditioned low-level control. This repository provides training, evaluation, and test-time training code for reproducing the results reported in the paper.
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+ ## Content
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+ The repo currently contains two checkpoints to reproduce the results reported in the paper.
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+ - `DISC-libero90.ckpt` contains the model trained on LIBERO-90 dataset (Table 1)
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+ - `DISC-libero_cotrain_spatial_object_goal.ckpt` contains the model cotrained on LIBERO-sptial, LIBERO-object, LIBERO-goal. (Table 2)
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+ More checkpoints will be uploaded later.