| license: mit | |
| tags: | |
| - robotics | |
| - reinforcement-learning | |
| # Play2Perfect checkpoints | |
| State-based policy checkpoints for [Play2Perfect](https://github.com/kushal2000/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. | |