NoveltyAdapt policy checkpoints
Public model checkpoints for NoveltyAdapt, corresponding to the iros2026 code branch.
Paths in this model repository match paths relative to learning/policies/ in the code repository. The top-level domains are coffee_box, coffee_drawer, kitchen, and nut_assembly; the original task, algorithm, training configuration, and seed subfolders are preserved.
Only model checkpoint ZIP files are included: final_model.zip, best_model.zip, and recent_model.zip. Training/evaluation logs, replay buffers, and executor files are not included.
Download
From the code repository root:
pip install huggingface_hub
hf download helenlu94/NoveltyAdapt-policies --include "*.zip" --local-dir learning/policies
See the code repository for environment dependencies and policy visualization instructions.
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