Artificial Intelligence, Reinforcement Learning, Deep Learning, Classical Planning, Heuristic Search, Parallel Search
|Abel D, Arumugam D, Asadi K, Jinnai Y, Littman M, Wong L. S. 2019. State Abstraction as Compression in Apprenticeship Learning. Proc. 33rd AAAI Conference on Artificial Intelligence (AAAI-19). PAPER|
|(Preprint) Jinnai Y, Abel D, Hershkowitz E, Littman M, Konidaris G. 2018. Finding Options that Minimize Planning Time. arXiv 1810.07311. PAPER SLIDES|
|(Preprint) Wang L*, Zhao Y*, Jinnai Y*. 2018. AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. arXiv 1805.07440. *These authors contributed equally to this work. PAPER|
|Abel D*, Jinnai Y*, Guo Y, Konidaris G, Littman M. 2018. Policy and Value Transfer for Lifelong Reinforcement Learning. Proc. 35th International Conference on Machine Learning. *These authors contributed equally to this work. PAPER POSTER CODE TALK by D. Abel|
|Fukunaga A, Botea A, Jinnai Y, Kishimoto A. 2018. Parallel A* for State-Space Search. Handbook of Parallel Constraint Reasoning, Youssef Hamadi, Lakhdar Sais (eds.), Springer. ISBN 978-3-319-63515-6. BOOK|
|Jinnai Y, Fukunaga A. 2017. A Graph-Partitioning Based Approach for Parallel Best-First Search. ICAPS 2017 Workshop on Heuristic and Search for Domain-Independent Planning (HSDIP). PAPER SLIDES POSTER CODE|
|Jinnai Y, Fukunaga A. 2017. Learning to Prune Dominated Action Sequences in Online Black-box Planning. Proc. 31st AAAI Conference on Artificial Intelligence (AAAI-17) PAPER SLIDES CODE|
|Jinnai Y, Fukunaga A. 2017. On Hash-Based Work Distribution Methods for Parallel Best-First Search. Journal of Artificial Intelligence Research (JAIR). PAPER CODE|
|(Preprint) Fukunaga A., Botea A, Jinnai Y., Kishimoto A. 2017. A Survey of Parallel A*. arXiv 1708.05296 PAPER|
|Jinnai Y, Fukunaga A. 2016. Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search. Proc. 19th International Conference on Automated Planning and Scheduling (ICAPS-16) PAPER SLIDES VIDEO CODE|
|Jinnai Y, Fukunaga A. 2016. Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search. Proc. 30th AAAI Conference on Artificial Intelligence (AAAI-16) PAPER POSTER CODE (PDDL) CODE (sliding-tile, path-finding, MSA)|
2016 Winter Semester
Teaching assistant for Terakoya program, which is a program to walk through introductory level math and computer science for undergraduates at the University of Tokyo.
2016 Summer Semester
I was working as a teaching assistant (TA) for information engineering at the University of Tokyo.
2015 Winter Semester
I was teaching introductory graph theory with flip-teaching style for Terakoya program at the University of Tokyo.
2015 Summer Semester
I was a teaching assistant (TA) for first year seminar for science student at the University of Tokyo. I was a teaching assistant (TA) for information engineering at the University of Tokyo.
Jan. 2018. Automated Deep Learning by Neural Architecture Search. NICT.
Feb. 2017. Graph search algorithms for classical planning. Discrete Structure Manipulation System Project. Hokkaido University.