# Apollo1060

**Repository Path**: greitzmann/Apollo1060

## Basic Information

- **Project Name**: Apollo1060
- **Description**: Data and models (with prediction scripts) used in publications related to Apollo1060 platform
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-18
- **Last Updated**: 2021-01-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Apollo1060
Data and models (with API) used in publications related to Apollo1060 platform:
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning https://arxiv.org/abs/2004.12485

BibTeX:

@misc{

    gottipati2020learning,
    
    title={Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning},
    
    author={Sai Krishna Gottipati and Boris Sattarov and Sufeng Niu and Yashaswi Pathak and Haoran Wei and Shengchao Liu and Karam M. J. Thomas and Simon Blackburn and Connor W. Coley and Jian Tang and Sarath Chandar and Yoshua Bengio},
    
    year={2020},
    
    eprint={2004.12485},
    
    archivePrefix={arXiv},
    
    primaryClass={cs.LG}

}