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Playing 20 Question Game with Policy-Based Reinforcement Learning

Reference

Playing 20 Question Game with Policy-Based Reinforcement Learning. Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu and Zhan Chen. EMNLP, 2018.

Requirements and Installation

We recommended the following dependencies.

Citation

If you find this work useful for your research, please cite the following paper.

@inproceedings{hu-etal-2018-playing,
    title = "Playing 20 Question Game with Policy-Based Reinforcement Learning",
    author = "Hu, Huang and Wu, Xianchao and Luo, Bingfeng and Tao, Chongyang and Xu, Can and Wu, Wei and Chen, Zhan",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    year = "2018",
    pages = "3233--3242",
}

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