Zhengyao Jiang

Zhengyao Jiang

PhD Student of Machine Learning

University College London

Biography

I’m Zhengyao Jiang, a machine learning PhD student at UCL, supervised by Tim Rocktäschel and Edward Grefenstette. I’m interested in improving the data efficiency and generalization of reinforcement learning, pushing the RL to real-world applications. To reach those goals, my research focuses on both incorporating priors with neuro-symbolic methods and leveraging off-policy/offline data. I used to work on deep learning financial applications, having the experience of algorithmic live trading on the cryptocurrency market.

Interests
  • Machine Learning
  • Reinforcement Learning
  • Deep Learning
Education
  • Ph.D. Machine Learning, 2020-

    University College London

  • M.Res. Computational Statistics and Machine Learning, 2019--2020

    University College London

  • B.Sc. Artificial Intelligence, 2017--2019

    University of Liverpool

  • B.Sc. Information and Computation Science, 2015--2017

    Xi'an Jiaotong-Liverpool University

Publications

(2022). Efficient Planning in a Compact Latent Action Space. In Arxiv.

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(2022). Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. In Arxiv.

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(2021). Graph Backup: Data Efficient Backup Exploiting Markovian Data. In DeepRL2021.

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(2021). Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. In AAMAS2021.

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(2019). Neural Logic Reinforcement Learning. In ICML2019.

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