Yuu Jinnai
Yuu Jinnai
Lily MedTech Inc.
Verified email at lilymedtech.com - Homepage
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
Proceedings of the AAAI Conference on Artificial Intelligence, 2018
49*2018
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
342018
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 (01), 3134-3142, 2019
242019
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
162017
Discovering options for exploration by minimizing cover time
Y Jinnai, JW Park, D Abel, G Konidaris
Proceedings of the 36th International Conference on Machine Learning, 2019
132019
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
122016
Exploration in reinforcement learning with deep covering options
Y Jinnai, JW Park, MC Machado, G Konidaris
International Conference on Learning Representations, 2019
112019
A Survey of Parallel A*
A Fukunaga, A Botea, Y Jinnai, A Kishimoto
arXiv preprint arXiv:1708.05296, 2017
92017
Finding Options that Minimize Planning Time
Y Jinnai, D Abel, DE Hershkowitz, M Littman, G Konidaris
Proceedings of the 36th International Conference on Machine Learning, 2018
72018
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
Parallel A* for State-Space Search.
A Fukunaga, A Botea, Y Jinnai, A Kishimoto
Handbook of Parallel Constraint Reasoning, 419-455, 2018
42018
Lipschitz lifelong reinforcement learning
E Lecarpentier, D Abel, K Asadi, Y Jinnai, E Rachelson, ML Littman
arXiv preprint arXiv:2001.05411, 2020
32020
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
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
Structure & Priors in Reinforcement Learning (SPiRL) at ICLR 2019, 2019
2019
Tiltcopter
F Bystricky, Y Jinnai, F Rice
2018
A Graph-Partitioning Based Approach for Parallel Best-First Search
Y Jinnai, A Fukunaga
Heuristics and Search for Domain-independent Planning (HSDIP) at ICAPS 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 Download PDF
D Abel, D Arumugam, K Asadi, Y Jinnai, ML Littman, LLS Wong
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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