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+# Robotic Manipulation Models for Four Tasks
+[[Project Page]](https://data-scaling-laws.github.io/)
+[[Paper]](https://data-scaling-laws.github.io/paper.pdf)
+[[Code]](https://github.com/Fanqi-Lin/Data-Scaling-Laws)
+
+This repository contains four models for the manipulation tasks described in the paper "Data Scaling Laws in Imitation Learning for Robotic Manipulation".
+
+The tasks include:
++ Arrange Mouse
++ Fold Towel
++ Pour Water
++ Unplug Charger
+
+For each task, we release a policy trained on data collected from 32 unique environment-object pairs, with 50 demonstrations per environment. These policies have been shown to generalize effectively to novel environments and objects.
+
+For details on how to use these models, please refer to our [code](https://github.com/Fanqi-Lin/Data-Scaling-Laws).