Yuu Jinnai
Title
Cited by
Cited by
Year
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
L Wang, Y Zhao, Y Jinnai, Y Tian, R Fonseca
arXiv preprint arXiv:1805.07440, 2018
192018
Learning to Prune Dominated Action Sequences in Online Black-box Planning
Y Jinnai, A Fukunaga
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
152017
State abstraction as compression in apprenticeship learning
D Abel, D Arumugam, K Asadi, Y Jinnai, ML Littman, LLS Wong
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3134-3142, 2019
142019
Policy and value transfer in lifelong reinforcement learning
D Abel*, Y Jinnai*, SY Guo, G Konidaris, M Littman
International Conference on Machine Learning, 20-29, 2018
142018
Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search
Y Jinnai, A Fukunaga
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence …, 2016
102016
A Survey of Parallel A*
A Fukunaga, A Botea, Y Jinnai, A Kishimoto
arXiv preprint arXiv:1708.05296, 2017
72017
Finding Options that Minimize Planning Time
Y Jinnai, D Abel, DE Hershkowitz, M Littman, G Konidaris
arXiv preprint arXiv:1810.07311, 2018
52018
Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search
Y Jinnai, A Fukunaga
International Conference on Automated Planning and Scheduling, 2016
52016
Discovering options for exploration by minimizing cover time
Y Jinnai, JW Park, D Abel, G Konidaris
arXiv preprint arXiv:1903.00606, 2019
42019
On hash-based work distribution methods for parallel best-first search
Y Jinnai, A Fukunaga
Journal of Artificial Intelligence Research 60, 491-548, 2017
32017
Exploration in reinforcement learning with deep covering options
Y Jinnai, JW Park, MC Machado, G Konidaris
International Conference on Learning Representations, 2019
12019
Parallel A* for State-Space Search
A Fukunaga, A Botea, Y Jinnai, A Kishimoto
Handbook of Parallel Constraint Reasoning, 419-455, 2018
12018
Lipschitz Lifelong Reinforcement Learning
E Lecarpentier, D Abel, K Asadi, Y Jinnai, E Rachelson, ML Littman
arXiv preprint arXiv:2001.05411, 2020
2020
Knossos: Compiling AI with AI
Y Jinnai, A Mehrjou, K Ciosek, A Mitenkova, A Lawrence, T Ellis, ...
2019
Skill Discovery with Well-Defined Objectives
Y Jinnai, D Abel, JW Park, DE Hershkowitz, M Littman, G Konidaris
2019
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search
L Wang, Y Zhao, Y Jinnai, Y Tian, R Fonseca
arXiv preprint arXiv:1805.07440, 2018
2018
A Graph-Partitioning Based Approach for Parallel Best-First Search
Y Jinnai, A Fukunaga
HSDIP 2017, 35, 2017
2017
Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains
Y Jinnai, A Fukunaga
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
2017
State Abstraction as Compression in Apprenticeship Learning Supplementary Material
D Abel, D Arumugam, K Asadi, Y Jinnai, ML Littman, LLS Wong
a∈ A 1, 2, 0
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Articles 1–19