Yuu Jinnai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Reinforcement Learning

Computed Tomography

Neural Architecture

Top Venues

Publications

Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment. CoRR (2024)
Yuu Jinnai, Ukyo Honda
Annotation-Efficient Preference Optimization for Language Model Alignment. CoRR (2024)
Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. ACL (Findings) (2024)
Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai
On the True Distribution Approximation of Minimum Bayes-Risk Decoding. CoRR (2024)
Yuu Jinnai, Kaito Ariu
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. CoRR (2024)
Yuu Jinnai
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models? CoRR (2024)
Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. CoRR (2024)
Yuu Jinnai, Kaito Ariu
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. ACL (Findings) (2024)
Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
Filtered Direct Preference Optimization. CoRR (2024)
Takumi Noda, Yuu Jinnai, Naoki Tomii, Takashi Azuma
Blind Signal Separation for Fast Ultrasound Computed Tomography. CoRR (2023)
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
Model-Based Minimum Bayes Risk Decoding. CoRR (2023)
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda
On the Depth between Beam Search and Exhaustive Search for Text Generation. CoRR (2023)
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
Lipschitz Lifelong Reinforcement Learning. AAAI (2021)
Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris
Exploration in Reinforcement Learning with Deep Covering Options. ICLR (2020)
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. AAAI (2020)
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
Lipschitz Lifelong Reinforcement Learning. CoRR (2020)
Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris
Finding Options that Minimize Planning Time. ICML (2019)
David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong
State Abstraction as Compression in Apprenticeship Learning. AAAI (2019)
Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
Discovering Options for Exploration by Minimizing Cover Time. CoRR (2019)
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. CoRR (2019)
Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
Discovering Options for Exploration by Minimizing Cover Time. ICML (2019)
Yuu Jinnai, David Abel, Michael L. Littman, George Dimitri Konidaris
Finding Options that Minimize Planning Time. CoRR (2018)
Linnan Wang, Yiyang Zhao, Yuu Jinnai
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. CoRR (2018)
David Abel, Yuu Jinnai, Sophie Yue Guo, George Dimitri Konidaris, Michael L. Littman
Policy and Value Transfer in Lifelong Reinforcement Learning. ICML (2018)
Yuu Jinnai, Alex Fukunaga
On Hash-Based Work Distribution Methods for Parallel Best-First Search. J. Artif. Intell. Res. 60 (2017)
Yuu Jinnai, Alex Fukunaga
On Hash-Based Work Distribution Methods for Parallel Best-First Search. CoRR (2017)
Yuu Jinnai, Alex S. Fukunaga
Learning to Prune Dominated Action Sequences in Online Black-Box Planning. AAAI (2017)
Yuu Jinnai, Alex Fukunaga
Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains. AAAI (2017)
Alex Fukunaga, Adi Botea, Yuu Jinnai, Akihiro Kishimoto
A Survey of Parallel A. CoRR (2017)
Yuu Jinnai, Alex Fukunaga
Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search. AAAI (2016)
Yuu Jinnai, Alex S. Fukunaga
Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search. ICAPS (2016)