| license: mit | |
| task_categories: | |
| - robotics | |
| # Combining Constrained Sampling and Reinforcement Learning for Manipulation | |
| This repository contains data associated with the paper [Combining Constrained Sampling and Reinforcement Learning for Manipulation](https://huggingface.co/papers/2602.08557). | |
| - Project page: https://www.user.tu-berlin.de/mtoussai/26-CSRL/ | |
| - Code: https://github.com/LIS-TU-Berlin/csrl | |
| The paper studies goal-conditioned reinforcement learning for contact-rich manipulation, combining constrained sampling with projected interpolation and curriculum learning to improve exploration and policy learning. |