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This is the model weights of Team Comet for the [2025 BEHAVIOR Challenge](https://behavior.stanford.edu/index.html). Our [submission](https://behavior.stanford.edu/challenge/leaderboard.html#privileged-information-track) achieved a Q-score of 0.2514, securing 2nd place overall and finishing just behind the winning team by a narrow margin—highlighting both the strong competitiveness of our approach and the effectiveness of our end-to-end VLA training strategy.
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Please refer to [this repository](https://github.com/mli0603/openpi-comet) for detailed usage.
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This is the model weights of Team Comet for the [2025 BEHAVIOR Challenge](https://behavior.stanford.edu/index.html). Our [submission](https://behavior.stanford.edu/challenge/leaderboard.html#privileged-information-track) achieved a Q-score of 0.2514, securing 2nd place overall and finishing just behind the winning team by a narrow margin—highlighting both the strong competitiveness of our approach and the effectiveness of our end-to-end VLA training strategy.
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Please refer to [this repository](https://github.com/mli0603/openpi-comet) for detailed usage. It provides a unified framework for pre-training, post-training, data generation and evaluation of π0.5 (Pi05) models on BEHAVIOR-1K.
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The [tech report](https://arxiv.org/abs/2512.10071) is available now.
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