metadata
license: mit
tags:
- robotics
- reinforcement-learning
Play2Perfect checkpoints
State-based policy checkpoints for Play2Perfect (arXiv: 2606.26428).
play/model.pth— Stage-1 "play" pretrained policy.tight_insertion/model.pth— Stage-2: tight insertion (L-peg, 0.5 mm).beam_assembly_step1/model.pth— Stage-2: beam assembly step 1.beam_assembly_step2/model.pth— Stage-2: beam assembly step 2.screwing/model.pth— Stage-2: screwing (furniture leg).
Download with python download_checkpoints.py from the Play2Perfect repo.