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 # GFlowNet
 
-This repository implements GFlowNets, generative flow networks for probabilistic modelling, on PyTorch. A design guideline behind this implementation is the separation of the logic of the GFlowNet agent and the environments on which the agent can be trained on. In other words, this implementation facilitates the extension with new environments for new applications. 
+gflownet is library upon [PyTorch](https://pytorch.org/) to easily train and extend [GFlowNets](https://arxiv.org/abs/2106.04399), also known as GFN or generative flow networks. GFlowNets are a machine learning framework for probabilistic and generative modelling, with a wide range of applications, especially in [scientific discovery](https://pubs.rsc.org/en/content/articlelanding/2023/dd/d3dd00002h) problems.
 
 ![Tetris Environment](docs/images/image.png)
 *Figure 1: The Tetris environment*