Interactive Machine Intelligence Lab.
Career History
- 2014 : B.E. Department of Systems Innovation, The University of Tokyo
- 2016 : M.S. School of Computing, KAIST
- 2020 : Ph.D. School of Computing, KAIST
- 2023 ~ present : Assistant Professor, UNIST
- 2017 : Research Intern, Max Planck Institute for Software Systems 2019: Research Intern, Microsoft Research
- 2020 ~ 2021 : Researcher, Microsoft Research
- 2021 ~ 2022 : Postdoctoral Researcher, RIKEN
Intro
We work on realizing interactive machine intelligent system, within which artificial agents along with humans co-exist. Artificial entities have their own mental models, which is analogous to decentralized machine learning system. Via the interactive behaviors, such as collaboration, cooperation, coordination, competition, etc, each entity’s internal models of the worlds gets affected by one another, and we model the overall process via the Bayesian principles. Finally, each agent’s internal models generate its future actions, which can be modeled through the recent advances on generative machine learning.
Research Field
Generative machine learning, Multi-agent interactive systems, Bayesian machine learning