Takashi NAGATA

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my linkedin profile Email: takashin at uci dot edu

    Takashi NAGATA is currently a PhD candidate working in the Neuromorphic Machine Intelligence Lab at University of California, Irvine towards a Ph.D. in Computer Science with a concentration in Reinforcement Learning.
    He received his B.S. degrees in computer science from Tokyo University of Science, Japan, in 2008 and M.S. in 2010 respectively.  He has 7+ years experience in total as a systems engineer in financial industry and a technical support engineer for BigData technologies especially Hadoop and its ecosystem such as Hive, HBase, and Spark etc.

Research Interests

I’m interested in the intersection of machine learning and cognitive science, and its application such as robotics.

Work Experience



  • Xing, J., Nagata, T., Chen, K., Zou, X., Neftci, E., & Krichmar, J.L. (2021). Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI'21.
  • Nagata, T., Takimoto, M., & Kambayashi, Y. (2013). Cooperatively Searching Objects Based on Mobile Agents. Trans. Comput. Collect. Intell., 11, 119-136.
  • Nagata, T., Takimoto, M., & Kambayashi, Y. (2009). Suppressing the Total Costs of Executing Tasks Using Mobile Agents. 2009 42nd Hawaii International Conference on System Sciences, 1-10.