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Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning

Python License GitHub Project Page


Official code for the paper "Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning" (ICML 2026).

This repository includes the CTA implementation together with dual goal representation based baselines.

Citation

@inproceedings{
  kim2026compositional,
  title={Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning},
  author={Kim, Junseok and Kim, Dohyeong and Hong, Mineui and Oh, Songhwai},
  booktitle={Proceedings of the International Conference on Machine Learning (ICML)},
  year={2026},
  month={July},
  address={Seoul, South Korea}
}

Acknowledgements

This repository builds on OGBench, and we also referred to tmd-release.

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Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning" (ICML 2026)

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