Skip to main content
Log in

Reinforcement learning with actor-critic for knowledge graph reasoning

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Wang Q, Liu J, Luo Y F, et al. Knowledge base completion via coupled path ranking. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016. 1308–1318

    Google Scholar 

  2. Chen W H, Xiong W H, Yan X F, et al. Variational knowledge graph reasoning. 2018. ArXiv:1803.06581

    Google Scholar 

  3. Ni L, Cohen W W. Fast query execution for retrieval models based on path-constrained random walks. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010. 881–888

    Google Scholar 

  4. Wang W Y, Cohen W W. Joint information extraction and reasoning: a scalable statistical relational learning approach. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, 2015. 355–364

    Google Scholar 

  5. Bordes A, Usunier N, Garcia-Duran A, et al. Translating embeddings for modeling multi-relational data. In: Proceedings of Neural Information Processing Systems, 2013. 2787–2795

    Google Scholar 

  6. Xiong W H, Hoang T, Wang W Y. DeepPath: a reinforcement learning method for knowledge graph rea-soning. 2017. ArXiv:1707.06690

    Google Scholar 

  7. Silver D, Lever G, Heess N, et al. Deterministic policy gradient algorithms. In: Proceedings of the 31st International Conference on International Conference on Machine Learning, 2014. 387–395

    Google Scholar 

  8. Andrew C, Justin B, Bryan K, et al. Toward an architecture for neverending language learning. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010

    Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61590924, 61433002) and Science and Technology Innovation Action Plan Project of Shanghai Science and Technology Commission (Grant No. 18511104200).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dewei Li.

Supplementary File

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, L., Li, D., Xi, Y. et al. Reinforcement learning with actor-critic for knowledge graph reasoning. Sci. China Inf. Sci. 63, 169101 (2020). https://doi.org/10.1007/s11432-018-9820-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9820-3

Navigation