Google Research

Bo Dai


My research interests lie on designing principled machine learning methods. Currently, I mainly focus on three major themes:
  • Reinforcement learning: design effective algorithms by exploiting the intrinsic structures in the uncertain dynamics for automatic decision making.
  • Learning to design algorithms: improve the algorithms, e.g., sampling, searching and planning, by leveraging empirical experiences.
  • Structured input and output: build effective models for capturing the structures information in input and output, e.g., binaries, sequences, programs, trees, and graphs.
More information can be found in Google Scholar and my personal homepage.

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